Revision [52181]

Last edited on 2012-05-09 19:34:37 by CaraMouna
Additions:
Deletions:
http://www.portedeurope.org
http://www.profi-fachuebersetzung.de
http://www.profischnell.com
http://www.profi-fachuebersetzungen.de
http://www.uebersetzung-deutsch-englisch.com

Revision [45943]

Edited on 2012-05-08 23:11:13 by UliSPain
Additions:
Budget holidays packages for North India. Find information on budget holidays packages for Rajasthan, Jaipur and Jaisalmer. Rajasthan tours and travels holiday’s budget packages.
http://www.portedeurope.org
http://www.profi-fachuebersetzung.de
http://www.profischnell.com
http://www.profi-fachuebersetzungen.de
http://www.uebersetzung-deutsch-englisch.com
Deletions:
Budget holidays packages for North India. Find information on budget holidays packages for Rajasthan, Jaipur and Jaisalmer. Rajasthan tours and travels holiday’s budget packages.

Revision [15097]

Edited on 2012-04-23 14:51:24 by CaraMouna
Additions:
**Ghana News, Ghana Social Networks, Ghana Web & Entertainment, Ghana Social News**
Foreverghana.com presents entertainment for social addictive where you find social videos, chat, forums, Ghana news, and lots more.

**DVD & CD Duplication, CD-DVD Manufacturing & Packaging Services**
Track Master offer dvd & cd duplication, manufacturing & packaging services at low cost. We also offer services in short run dvd & cd packaging and duplication. Track Master Offer DVD duplication, CD duplication, CD manufacturing, DVD packaging, CD packaging, CD duplication services and DVD duplication services at low cost. We also offer services in short run DVD duplication and short run CD duplication.


**Step N Grip: Slip not Products, Slip Not Shoes, Slip Not Mats, Traction Mats, Basketball & Tennis Sticky Mats**
Stepngrip.com selling slip not products for basketball and tennis players including sticky mats, sticky sheets, sticky shoes, gym floor mats, slip grip shoes, traction mats, slip not mats, and lots more.


**Budget Holidays Tours & Travel Packages India – Holidays to Rajasthan, Jaipur, Jaisalmer**
Budget holidays packages for North India. Find information on budget holidays packages for Rajasthan, Jaipur and Jaisalmer. Rajasthan tours and travels holiday’s budget packages.
Deletions:
----we---nano-tera-----
[[http://armycardonation.org car donation]]
[[http://armyautodonation.org auto donation]]
[[http://carinsurancecompanieshelp.com car insurance companies]]
[[http://carinsurancecomparisonhelp.com car insurance comparison]]
[[http://carinsurancecomparisonshelp.com car insurance comparisons]]
[[http://vehicleinsurancefinder.com vehicle insurance]]
[[http://btosex.com car insurance companies]]
[[http://forelder.com car insurance comparisons]]
[[http://n0way.com car insurance comparisons]]
[[http://phusex.com car insurance comparisons]]
[[http://www.oro-compro.com/ compro oro]]
[[http://www.residencebelohorizonte.com/domande-sulla-casa-vacanze-di-macerata/ casa vacanze macerata]]

Revision [13134]

Edited on 2012-04-12 05:54:42 by WikiMouse
Additions:
----we---nano-tera-----
[[http://armycardonation.org car donation]]
[[http://armyautodonation.org auto donation]]
[[http://carinsurancecompanieshelp.com car insurance companies]]
[[http://carinsurancecomparisonhelp.com car insurance comparison]]
[[http://carinsurancecomparisonshelp.com car insurance comparisons]]
[[http://vehicleinsurancefinder.com vehicle insurance]]
[[http://btosex.com car insurance companies]]
[[http://forelder.com car insurance comparisons]]
[[http://n0way.com car insurance comparisons]]
[[http://phusex.com car insurance comparisons]]
[[http://www.oro-compro.com/ compro oro]]
[[http://www.residencebelohorizonte.com/domande-sulla-casa-vacanze-di-macerata/ casa vacanze macerata]]
Deletions:
====BioCS-Node: Enabling Ultra-Low-Power Ambulatory Monitoring of Cardiac and Neurological Bioelectrical Signals Using Compressed Sensing====
Our modern society is today threatened by an incipient healthcare delivery crisis caused by current demographic and lifestyle trends. On the one hand the worlds population is aging quickly, resulting in an increased prevalence of cardiac and neurological disorders. On the other hand, our busy lifestyles leave little time and [[http://www.nano-tera.ch/nanoterawiki/AccommodationDaylesford holiday accommodation]] for fitness, healthy diet management and mental wellness, and are fuelling the rise of the number of people unsuspectingly developing, or living with, chronic cardiovascular and neurological conditions for decades.
As a matter of fact, according to the World Health Organization, cardiovascular diseases (CVD) are the number one cause of death worldwide, responsible for an estimated 17.1 million deaths in 2004 (i.e., 29% of all deaths worldwide) and an economic fallout in the billions. Moreover, neurological diseases including strokes, neuromotor ailments and sleep disorders affect up to 1 billion people globally, and are a significant cause of morbidity and mortality (i.e., 12% of all deaths globally). These increasingly prevalent cardiac and neurological diseases require escalating levels of supervision and medical management, which are contributing to skyrocketing healthcare costs and, more importantly, are unsustainable for traditional healthcare infrastructures. Wireless body sensor network (WBSN) technologies promise to offer large-scale and cost-effective solutions to this problem. Outfitting patients with wearable, miniaturized and wireless sensors able to measure, pre-process and wirelessly report cardiac and neurological signals to telehealth providers would enable the required personalized, long-term and real-time remote monitoring of chronic patients, its seamless integration with the patients medical record and its coordination with nursing/medical support [[http://www.nano-tera.ch/nanoterawiki/Restaurants restaurants]].
To successfully deploy WBSNs able to perform long-term, remote and clinically relevant monitoring of chronic patients in free-living conditions, it is critical that sensor devices become vanishingly small and autonomous, while retaining their embedded intelligence and wireless capabilities. Devices in use today operate on Li-on battery that provides about 1 Watt-hour of energy, and were shown to exhibit, for instance, an autonomy of less than a day for single-lead cardiac bioelectrical signal (i.e., electrocardiogram or ECG) sensing and wireless streaming. This ridiculously low autonomy figure is due to the transmission of uncompressed ECG data over power-hungry wireless links. The autonomy figures would be even more compelling for multi-lead ECG and electroencephalogram (EEG) monitoring. Clearly, significant research contributions remain to be made in terms of ultra-low-power embedded compression of ECG and EEG signals and ultra-low-power wireless WBSN connectivity. Within this project, we propose a novel and promising approach to tackle the former challenge. More specifically, we devise low-complexity, yet, powerful multi-lead cardiac and neurological bioelectrical compression techniques and design their supporting ultra-low-power sensor digital processing platform.
Capitalizing on the largely sparse nature of ECG and EEG, we propose to apply the emerging approach to joint sensing and compression for this class of signals, so-called compressed sensing (CS), which promises significant compression ratios while using computationally light linear encoders. This approach is particularly attractive and promising for our target ultra-low-power WBSN-based monitoring systems because the sensor node can very efficiently jointly compress the acquired ECG/EEG signals through a small number of linear signal-independent measurements while preserving their underlying information; only this small number of measurements will be wirelessly transmitted to the remote telehealth center, where the full multi-lead records can be accurately reconstructed using complex non-linear decoding. More importantly, we propose to design a new sensor embedded platform that effectively implements the compressed sensing of cardiac and neurological bioelectrical signals. If successful, this project could lead to a new way of thinking and designing wireless sensing platforms, and would be a the first to demonstrate the ultra-low-power benefits of compressed sensing for cardiac and neurological bioelectrical signals.

Revision [13131]

Edited on 2012-04-12 03:31:04 by WentForgold
Additions:
====BioCS-Node: Enabling Ultra-Low-Power Ambulatory Monitoring of Cardiac and Neurological Bioelectrical Signals Using Compressed Sensing====
Our modern society is today threatened by an incipient healthcare delivery crisis caused by current demographic and lifestyle trends. On the one hand the worlds population is aging quickly, resulting in an increased prevalence of cardiac and neurological disorders. On the other hand, our busy lifestyles leave little time and [[http://www.nano-tera.ch/nanoterawiki/AccommodationDaylesford holiday accommodation]] for fitness, healthy diet management and mental wellness, and are fuelling the rise of the number of people unsuspectingly developing, or living with, chronic cardiovascular and neurological conditions for decades.
As a matter of fact, according to the World Health Organization, cardiovascular diseases (CVD) are the number one cause of death worldwide, responsible for an estimated 17.1 million deaths in 2004 (i.e., 29% of all deaths worldwide) and an economic fallout in the billions. Moreover, neurological diseases including strokes, neuromotor ailments and sleep disorders affect up to 1 billion people globally, and are a significant cause of morbidity and mortality (i.e., 12% of all deaths globally). These increasingly prevalent cardiac and neurological diseases require escalating levels of supervision and medical management, which are contributing to skyrocketing healthcare costs and, more importantly, are unsustainable for traditional healthcare infrastructures. Wireless body sensor network (WBSN) technologies promise to offer large-scale and cost-effective solutions to this problem. Outfitting patients with wearable, miniaturized and wireless sensors able to measure, pre-process and wirelessly report cardiac and neurological signals to telehealth providers would enable the required personalized, long-term and real-time remote monitoring of chronic patients, its seamless integration with the patients medical record and its coordination with nursing/medical support [[http://www.nano-tera.ch/nanoterawiki/Restaurants restaurants]].
To successfully deploy WBSNs able to perform long-term, remote and clinically relevant monitoring of chronic patients in free-living conditions, it is critical that sensor devices become vanishingly small and autonomous, while retaining their embedded intelligence and wireless capabilities. Devices in use today operate on Li-on battery that provides about 1 Watt-hour of energy, and were shown to exhibit, for instance, an autonomy of less than a day for single-lead cardiac bioelectrical signal (i.e., electrocardiogram or ECG) sensing and wireless streaming. This ridiculously low autonomy figure is due to the transmission of uncompressed ECG data over power-hungry wireless links. The autonomy figures would be even more compelling for multi-lead ECG and electroencephalogram (EEG) monitoring. Clearly, significant research contributions remain to be made in terms of ultra-low-power embedded compression of ECG and EEG signals and ultra-low-power wireless WBSN connectivity. Within this project, we propose a novel and promising approach to tackle the former challenge. More specifically, we devise low-complexity, yet, powerful multi-lead cardiac and neurological bioelectrical compression techniques and design their supporting ultra-low-power sensor digital processing platform.
Capitalizing on the largely sparse nature of ECG and EEG, we propose to apply the emerging approach to joint sensing and compression for this class of signals, so-called compressed sensing (CS), which promises significant compression ratios while using computationally light linear encoders. This approach is particularly attractive and promising for our target ultra-low-power WBSN-based monitoring systems because the sensor node can very efficiently jointly compress the acquired ECG/EEG signals through a small number of linear signal-independent measurements while preserving their underlying information; only this small number of measurements will be wirelessly transmitted to the remote telehealth center, where the full multi-lead records can be accurately reconstructed using complex non-linear decoding. More importantly, we propose to design a new sensor embedded platform that effectively implements the compressed sensing of cardiac and neurological bioelectrical signals. If successful, this project could lead to a new way of thinking and designing wireless sensing platforms, and would be a the first to demonstrate the ultra-low-power benefits of compressed sensing for cardiac and neurological bioelectrical signals.
Deletions:
**Internet Marketing**
It was also known as search marketing, web marketing, and online marketing etc. It is generally used to promote products and services on World Wide Web. Due to fast connectivity of internet world become a global village. Peoples after making their products launch them through internet for quick response. They also provide online accessibility over product to increase sale and ROI. They also advertise and provide their products and services online for better and quick response. On internet it basically has two major types through which people advertise their product and services. Well known types of internet marketing are SEM (Search Engine Marketing) and SEO (Search Engine Optimization). Now we discuss in detail both these types. To be very honest internet marketing has change the whole world, revolutionary changes of inter marketing has make advertisement easy due to which small business are growing rapidly. If a businessman have a small idea of business and good skills targeting local area market he or she can easily touch the heights.
**SEM (Search Engine Marketing)**
SEM (Search Engine Marketing) is basically type of paid online marketing term use in internet. Basically when people need urgent traffic to their site they use this (SEM) way of marketing. It’s very costly and only some big names of business can afford this type. This type of marketing results shows on upper and right side of search engine page. Experts provide search engine marketing services to attract more visitors and customers to your site and increase your sale and ROI (Return on Investment). Problem with this type of interne marketing is the fake clicks by visitors and sometimes from competitors as well. Google also have few draw backs in this case and having few strict policies of blocking adsense accounts without any response. Few of the big names of market are using this costly method of advertisement because they need quick response of their products and services. Some people may think that SEO is slow way to collect traffic from search engine but the results of SEO are more constant as compare to SEM and cheaper as well. I think anyone can get position on Google first page for a search query through good straight forward SEO techniques. Don’t try to cheat Google just follow white hat techniques with patients when get the position on first page then just try to maintain and don’t try hard to be on the top. Slow campaign will done the rest of work for you.
**SEO (Search Engine Optimization)**
SEO (Search Engine Optimization) is basically unpaid type of online marketing. It’s a process through which a website, blog or an online profile can adjust in best results of search engine SERP (Search Engine Result Pages). It’s a long term process and requires hard work as well as patient. The result of this SEO is constant and better than SEM and cheaper as well. After good technique of SEO your site shows on the first page of search engine and earn more business because of more visitors on your site you have more customers. That will cause of high ROI (Return on Investment) ratio than your competitors to achieve the best goals of business. When your site shows in Google SERP it will automatically show in other search engines like Bing, AOL etc. Basically after SEO to your site you have generate more profit than others. SEO provide their services to make your site on first page of search engine and that increase you sale and profit ratio. But SEO customers need to understand few things like the services they are going to acquire must be fully white hat. Otherwise it will cause of big loss in future their site also get banned or penalized in search engine result pages due to black hat services. So customers must be very careful while acquiring SEO Services.
**SEO Link Building Strategies**
Link Building is a type of off page optimization means building links with other sites like social sites, directories, blogs, article posting sites, forums etc. Link building is one of most important factor in off page optimization a site is nothing without strong links and it’s impossible to land on search engine first page without strong backlinks. Strong backlinks play a vital role for site in SERP. Strong backlinks are like life blood of a site in search engine optimization. A site without links is just like a supermarket in the middle of nowhere. Link building really help to drive traffic to your site like most obvious way is through direct clicks from the sites linking to yours. Link building plays a vital role to increase your search engine ranking and also increase your sites page rank through strong backlinks. Site page rank in Google is just like a green juice which shows the site importance and popularity in search engine. Strong backlink means a link from your relevant category site with high page rank can really help to increase your search ranking dramatically. If your site is newly launched links also help to index your site in major search engines like Google, MSN, Yahoo, Bing etc. Always make few but quality links in day. Don’t go for quantity build quality links to boost your ranking in white hat way. White hat result is constant as compare to black hat result which is there on top for few days.
**SEO Best Tactics**
I am always recommending building anchor text links targeting your long tail keywords. Don’t use exact keywords while building direct links to other sites its very dangerous for your SERP ranking. You need to be very careful now days while doing SEO because Google and major search engines are behaving like a human. Understanding tactics of SEO’s like human and trying to do different things on regular basis to improve quality search results and satisfy their customers. Now a day if your website is visitor friendly and after visiting your site visitor leave a good impression and spend good time on your site, visit different pages of your site due to your strong internal linking Google will defiantly make your ranking better and better. Most importantly if you are updating your site with unique, fresh and quality content , on regular basis your site will ranked and u will see improvement in your SERP Rank. Fresh, unique and quality content is the key of good ranking now a day.

Revision [13115]

Edited on 2012-04-11 13:16:52 by CaraMouna
Additions:
**Internet Marketing**
It was also known as search marketing, web marketing, and online marketing etc. It is generally used to promote products and services on World Wide Web. Due to fast connectivity of internet world become a global village. Peoples after making their products launch them through internet for quick response. They also provide online accessibility over product to increase sale and ROI. They also advertise and provide their products and services online for better and quick response. On internet it basically has two major types through which people advertise their product and services. Well known types of internet marketing are SEM (Search Engine Marketing) and SEO (Search Engine Optimization). Now we discuss in detail both these types. To be very honest internet marketing has change the whole world, revolutionary changes of inter marketing has make advertisement easy due to which small business are growing rapidly. If a businessman have a small idea of business and good skills targeting local area market he or she can easily touch the heights.
**SEM (Search Engine Marketing)**
SEM (Search Engine Marketing) is basically type of paid online marketing term use in internet. Basically when people need urgent traffic to their site they use this (SEM) way of marketing. It’s very costly and only some big names of business can afford this type. This type of marketing results shows on upper and right side of search engine page. Experts provide search engine marketing services to attract more visitors and customers to your site and increase your sale and ROI (Return on Investment). Problem with this type of interne marketing is the fake clicks by visitors and sometimes from competitors as well. Google also have few draw backs in this case and having few strict policies of blocking adsense accounts without any response. Few of the big names of market are using this costly method of advertisement because they need quick response of their products and services. Some people may think that SEO is slow way to collect traffic from search engine but the results of SEO are more constant as compare to SEM and cheaper as well. I think anyone can get position on Google first page for a search query through good straight forward SEO techniques. Don’t try to cheat Google just follow white hat techniques with patients when get the position on first page then just try to maintain and don’t try hard to be on the top. Slow campaign will done the rest of work for you.
**SEO (Search Engine Optimization)**
SEO (Search Engine Optimization) is basically unpaid type of online marketing. It’s a process through which a website, blog or an online profile can adjust in best results of search engine SERP (Search Engine Result Pages). It’s a long term process and requires hard work as well as patient. The result of this SEO is constant and better than SEM and cheaper as well. After good technique of SEO your site shows on the first page of search engine and earn more business because of more visitors on your site you have more customers. That will cause of high ROI (Return on Investment) ratio than your competitors to achieve the best goals of business. When your site shows in Google SERP it will automatically show in other search engines like Bing, AOL etc. Basically after SEO to your site you have generate more profit than others. SEO provide their services to make your site on first page of search engine and that increase you sale and profit ratio. But SEO customers need to understand few things like the services they are going to acquire must be fully white hat. Otherwise it will cause of big loss in future their site also get banned or penalized in search engine result pages due to black hat services. So customers must be very careful while acquiring SEO Services.
**SEO Link Building Strategies**
Link Building is a type of off page optimization means building links with other sites like social sites, directories, blogs, article posting sites, forums etc. Link building is one of most important factor in off page optimization a site is nothing without strong links and it’s impossible to land on search engine first page without strong backlinks. Strong backlinks play a vital role for site in SERP. Strong backlinks are like life blood of a site in search engine optimization. A site without links is just like a supermarket in the middle of nowhere. Link building really help to drive traffic to your site like most obvious way is through direct clicks from the sites linking to yours. Link building plays a vital role to increase your search engine ranking and also increase your sites page rank through strong backlinks. Site page rank in Google is just like a green juice which shows the site importance and popularity in search engine. Strong backlink means a link from your relevant category site with high page rank can really help to increase your search ranking dramatically. If your site is newly launched links also help to index your site in major search engines like Google, MSN, Yahoo, Bing etc. Always make few but quality links in day. Don’t go for quantity build quality links to boost your ranking in white hat way. White hat result is constant as compare to black hat result which is there on top for few days.
**SEO Best Tactics**
I am always recommending building anchor text links targeting your long tail keywords. Don’t use exact keywords while building direct links to other sites its very dangerous for your SERP ranking. You need to be very careful now days while doing SEO because Google and major search engines are behaving like a human. Understanding tactics of SEO’s like human and trying to do different things on regular basis to improve quality search results and satisfy their customers. Now a day if your website is visitor friendly and after visiting your site visitor leave a good impression and spend good time on your site, visit different pages of your site due to your strong internal linking Google will defiantly make your ranking better and better. Most importantly if you are updating your site with unique, fresh and quality content , on regular basis your site will ranked and u will see improvement in your SERP Rank. Fresh, unique and quality content is the key of good ranking now a day.
Deletions:
[[http://armycardonation.org car donation]]
[[http://armyautodonation.org auto donation]]
[[http://carinsurancecompanieshelp.com car insurance companies]]
[[http://carinsurancecomparisonhelp.com car insurance comparison]]
[[http://carinsurancecomparisonshelp.com car insurance comparisons]]
[[http://vehicleinsurancefinder.com vehicle insurance]]
[[http://btosex.com car insurance companies]]
[[http://forelder.com car insurance comparisons]]
[[http://n0way.com car insurance comparisons]]
[[http://phusex.com car insurance comparisons]]
[[http://www.oro-compro.com/ compro oro]]
[[http://www.residencebelohorizonte.com/domande-sulla-casa-vacanze-di-macerata/ casa vacanze macerata]]

Revision [12994]

Edited on 2012-04-11 05:21:05 by WikiMouse
Additions:
[[http://armycardonation.org car donation]]
[[http://armyautodonation.org auto donation]]
[[http://carinsurancecompanieshelp.com car insurance companies]]
[[http://carinsurancecomparisonhelp.com car insurance comparison]]
[[http://carinsurancecomparisonshelp.com car insurance comparisons]]
[[http://vehicleinsurancefinder.com vehicle insurance]]
[[http://btosex.com car insurance companies]]
[[http://forelder.com car insurance comparisons]]
[[http://n0way.com car insurance comparisons]]
[[http://phusex.com car insurance comparisons]]
[[http://www.oro-compro.com/ compro oro]]
[[http://www.residencebelohorizonte.com/domande-sulla-casa-vacanze-di-macerata/ casa vacanze macerata]]
Deletions:
====BioCS-Node: Enabling Ultra-Low-Power Ambulatory Monitoring of Cardiac and Neurological Bioelectrical Signals Using Compressed Sensing====
Our modern society is today threatened by an incipient healthcare delivery crisis caused by current demographic and lifestyle trends. On the one hand the worlds population is aging quickly, resulting in an increased prevalence of cardiac and neurological disorders. On the other hand, our busy lifestyles leave little time and [[http://www.nano-tera.ch/nanoterawiki/AccommodationDaylesford holiday accommodation]] for fitness, healthy diet management and mental wellness, and are fuelling the rise of the number of people unsuspectingly developing, or living with, chronic cardiovascular and neurological conditions for decades.
As a matter of fact, according to the World Health Organization, cardiovascular diseases (CVD) are the number one cause of death worldwide, responsible for an estimated 17.1 million deaths in 2004 (i.e., 29% of all deaths worldwide) and an economic fallout in the billions. Moreover, neurological diseases including strokes, neuromotor ailments and sleep disorders affect up to 1 billion people globally, and are a significant cause of morbidity and mortality (i.e., 12% of all deaths globally). These increasingly prevalent cardiac and neurological diseases require escalating levels of supervision and medical management, which are contributing to skyrocketing healthcare costs and, more importantly, are unsustainable for traditional healthcare infrastructures. Wireless body sensor network (WBSN) technologies promise to offer large-scale and cost-effective solutions to this problem. Outfitting patients with wearable, miniaturized and wireless sensors able to measure, pre-process and wirelessly report cardiac and neurological signals to telehealth providers would enable the required personalized, long-term and real-time remote monitoring of chronic patients, its seamless integration with the patients medical record and its coordination with nursing/medical support [[http://www.nano-tera.ch/nanoterawiki/Restaurants restaurants]].
To successfully deploy WBSNs able to perform long-term, remote and clinically relevant monitoring of chronic patients in free-living conditions, it is critical that sensor devices become vanishingly small and autonomous, while retaining their embedded intelligence and wireless capabilities. Devices in use today operate on Li-on battery that provides about 1 Watt-hour of energy, and were shown to exhibit, for instance, an autonomy of less than a day for single-lead cardiac bioelectrical signal (i.e., electrocardiogram or ECG) sensing and wireless streaming. This ridiculously low autonomy figure is due to the transmission of uncompressed ECG data over power-hungry wireless links. The autonomy figures would be even more compelling for multi-lead ECG and electroencephalogram (EEG) monitoring. Clearly, significant research contributions remain to be made in terms of ultra-low-power embedded compression of ECG and EEG signals and ultra-low-power wireless WBSN connectivity. Within this project, we propose a novel and promising approach to tackle the former challenge. More specifically, we devise low-complexity, yet, powerful multi-lead cardiac and neurological bioelectrical compression techniques and design their supporting ultra-low-power sensor digital processing platform.
Capitalizing on the largely sparse nature of ECG and EEG, we propose to apply the emerging approach to joint sensing and compression for this class of signals, so-called compressed sensing (CS), which promises significant compression ratios while using computationally light linear encoders. This approach is particularly attractive and promising for our target ultra-low-power WBSN-based monitoring systems because the sensor node can very efficiently jointly compress the acquired ECG/EEG signals through a small number of linear signal-independent measurements while preserving their underlying information; only this small number of measurements will be wirelessly transmitted to the remote telehealth center, where the full multi-lead records can be accurately reconstructed using complex non-linear decoding. More importantly, we propose to design a new sensor embedded platform that effectively implements the compressed sensing of cardiac and neurological bioelectrical signals. If successful, this project could lead to a new way of thinking and designing wireless sensing platforms, and would be a the first to demonstrate the ultra-low-power benefits of compressed sensing for cardiac and neurological bioelectrical signals.

Revision [12730]

Edited on 2012-04-10 02:44:39 by WentForgold
Additions:
====BioCS-Node: Enabling Ultra-Low-Power Ambulatory Monitoring of Cardiac and Neurological Bioelectrical Signals Using Compressed Sensing====
Our modern society is today threatened by an incipient healthcare delivery crisis caused by current demographic and lifestyle trends. On the one hand the worlds population is aging quickly, resulting in an increased prevalence of cardiac and neurological disorders. On the other hand, our busy lifestyles leave little time and [[http://www.nano-tera.ch/nanoterawiki/AccommodationDaylesford holiday accommodation]] for fitness, healthy diet management and mental wellness, and are fuelling the rise of the number of people unsuspectingly developing, or living with, chronic cardiovascular and neurological conditions for decades.
As a matter of fact, according to the World Health Organization, cardiovascular diseases (CVD) are the number one cause of death worldwide, responsible for an estimated 17.1 million deaths in 2004 (i.e., 29% of all deaths worldwide) and an economic fallout in the billions. Moreover, neurological diseases including strokes, neuromotor ailments and sleep disorders affect up to 1 billion people globally, and are a significant cause of morbidity and mortality (i.e., 12% of all deaths globally). These increasingly prevalent cardiac and neurological diseases require escalating levels of supervision and medical management, which are contributing to skyrocketing healthcare costs and, more importantly, are unsustainable for traditional healthcare infrastructures. Wireless body sensor network (WBSN) technologies promise to offer large-scale and cost-effective solutions to this problem. Outfitting patients with wearable, miniaturized and wireless sensors able to measure, pre-process and wirelessly report cardiac and neurological signals to telehealth providers would enable the required personalized, long-term and real-time remote monitoring of chronic patients, its seamless integration with the patients medical record and its coordination with nursing/medical support [[http://www.nano-tera.ch/nanoterawiki/Restaurants restaurants]].
To successfully deploy WBSNs able to perform long-term, remote and clinically relevant monitoring of chronic patients in free-living conditions, it is critical that sensor devices become vanishingly small and autonomous, while retaining their embedded intelligence and wireless capabilities. Devices in use today operate on Li-on battery that provides about 1 Watt-hour of energy, and were shown to exhibit, for instance, an autonomy of less than a day for single-lead cardiac bioelectrical signal (i.e., electrocardiogram or ECG) sensing and wireless streaming. This ridiculously low autonomy figure is due to the transmission of uncompressed ECG data over power-hungry wireless links. The autonomy figures would be even more compelling for multi-lead ECG and electroencephalogram (EEG) monitoring. Clearly, significant research contributions remain to be made in terms of ultra-low-power embedded compression of ECG and EEG signals and ultra-low-power wireless WBSN connectivity. Within this project, we propose a novel and promising approach to tackle the former challenge. More specifically, we devise low-complexity, yet, powerful multi-lead cardiac and neurological bioelectrical compression techniques and design their supporting ultra-low-power sensor digital processing platform.
Capitalizing on the largely sparse nature of ECG and EEG, we propose to apply the emerging approach to joint sensing and compression for this class of signals, so-called compressed sensing (CS), which promises significant compression ratios while using computationally light linear encoders. This approach is particularly attractive and promising for our target ultra-low-power WBSN-based monitoring systems because the sensor node can very efficiently jointly compress the acquired ECG/EEG signals through a small number of linear signal-independent measurements while preserving their underlying information; only this small number of measurements will be wirelessly transmitted to the remote telehealth center, where the full multi-lead records can be accurately reconstructed using complex non-linear decoding. More importantly, we propose to design a new sensor embedded platform that effectively implements the compressed sensing of cardiac and neurological bioelectrical signals. If successful, this project could lead to a new way of thinking and designing wireless sensing platforms, and would be a the first to demonstrate the ultra-low-power benefits of compressed sensing for cardiac and neurological bioelectrical signals.
Deletions:
[[http://armycardonation.org car donation]]
[[http://armyautodonation.org auto donation]]
[[http://carinsurancecompanieshelp.com car insurance companies]]
[[http://carinsurancecomparisonhelp.com car insurance comparison]]
[[http://carinsurancecomparisonshelp.com car insurance comparisons]]
[[http://vehicleinsurancefinder.com vehicle insurance]]
[[http://btosex.com car insurance companies]]
[[http://forelder.com car insurance comparisons]]
[[http://n0way.com car insurance comparisons]]
[[http://phusex.com car insurance comparisons]]

Revision [12691]

Edited on 2012-04-09 20:25:18 by WikiMouse
Additions:
[[http://armycardonation.org car donation]]
[[http://armyautodonation.org auto donation]]
[[http://carinsurancecompanieshelp.com car insurance companies]]
[[http://carinsurancecomparisonhelp.com car insurance comparison]]
[[http://carinsurancecomparisonshelp.com car insurance comparisons]]
[[http://vehicleinsurancefinder.com vehicle insurance]]
[[http://btosex.com car insurance companies]]
[[http://forelder.com car insurance comparisons]]
[[http://n0way.com car insurance comparisons]]
[[http://phusex.com car insurance comparisons]]
Deletions:
====BioCS-Node: Enabling Ultra-Low-Power Ambulatory Monitoring of Cardiac and Neurological Bioelectrical Signals Using Compressed Sensing====
Our modern society is today threatened by an incipient healthcare delivery crisis caused by current demographic and lifestyle trends. On the one hand the worlds population is aging quickly, resulting in an increased prevalence of cardiac and neurological disorders. On the other hand, our busy lifestyles leave little time and [[http://www.nano-tera.ch/nanoterawiki/AccommodationDaylesford holiday accommodation]] for fitness, healthy diet management and mental wellness, and are fuelling the rise of the number of people unsuspectingly developing, or living with, chronic cardiovascular and neurological conditions for decades.
As a matter of fact, according to the World Health Organization, cardiovascular diseases (CVD) are the number one cause of death worldwide, responsible for an estimated 17.1 million deaths in 2004 (i.e., 29% of all deaths worldwide) and an economic fallout in the billions. Moreover, neurological diseases including strokes, neuromotor ailments and sleep disorders affect up to 1 billion people globally, and are a significant cause of morbidity and mortality (i.e., 12% of all deaths globally). These increasingly prevalent cardiac and neurological diseases require escalating levels of supervision and medical management, which are contributing to skyrocketing healthcare costs and, more importantly, are unsustainable for traditional healthcare infrastructures. Wireless body sensor network (WBSN) technologies promise to offer large-scale and cost-effective solutions to this problem. Outfitting patients with wearable, miniaturized and wireless sensors able to measure, pre-process and wirelessly report cardiac and neurological signals to telehealth providers would enable the required personalized, long-term and real-time remote monitoring of chronic patients, its seamless integration with the patients medical record and its coordination with nursing/medical support [[http://www.nano-tera.ch/nanoterawiki/Restaurants restaurants]].
To successfully deploy WBSNs able to perform long-term, remote and clinically relevant monitoring of chronic patients in free-living conditions, it is critical that sensor devices become vanishingly small and autonomous, while retaining their embedded intelligence and wireless capabilities. Devices in use today operate on Li-on battery that provides about 1 Watt-hour of energy, and were shown to exhibit, for instance, an autonomy of less than a day for single-lead cardiac bioelectrical signal (i.e., electrocardiogram or ECG) sensing and wireless streaming. This ridiculously low autonomy figure is due to the transmission of uncompressed ECG data over power-hungry wireless links. The autonomy figures would be even more compelling for multi-lead ECG and electroencephalogram (EEG) monitoring. Clearly, significant research contributions remain to be made in terms of ultra-low-power embedded compression of ECG and EEG signals and ultra-low-power wireless WBSN connectivity. Within this project, we propose a novel and promising approach to tackle the former challenge. More specifically, we devise low-complexity, yet, powerful multi-lead cardiac and neurological bioelectrical compression techniques and design their supporting ultra-low-power sensor digital processing platform.
Capitalizing on the largely sparse nature of ECG and EEG, we propose to apply the emerging approach to joint sensing and compression for this class of signals, so-called compressed sensing (CS), which promises significant compression ratios while using computationally light linear encoders. This approach is particularly attractive and promising for our target ultra-low-power WBSN-based monitoring systems because the sensor node can very efficiently jointly compress the acquired ECG/EEG signals through a small number of linear signal-independent measurements while preserving their underlying information; only this small number of measurements will be wirelessly transmitted to the remote telehealth center, where the full multi-lead records can be accurately reconstructed using complex non-linear decoding. More importantly, we propose to design a new sensor embedded platform that effectively implements the compressed sensing of cardiac and neurological bioelectrical signals. If successful, this project could lead to a new way of thinking and designing wireless sensing platforms, and would be a the first to demonstrate the ultra-low-power benefits of compressed sensing for cardiac and neurological bioelectrical signals.

Revision [12671]

Edited on 2012-04-09 17:13:54 by WentForgold
Additions:
====BioCS-Node: Enabling Ultra-Low-Power Ambulatory Monitoring of Cardiac and Neurological Bioelectrical Signals Using Compressed Sensing====
Our modern society is today threatened by an incipient healthcare delivery crisis caused by current demographic and lifestyle trends. On the one hand the worlds population is aging quickly, resulting in an increased prevalence of cardiac and neurological disorders. On the other hand, our busy lifestyles leave little time and [[http://www.nano-tera.ch/nanoterawiki/AccommodationDaylesford holiday accommodation]] for fitness, healthy diet management and mental wellness, and are fuelling the rise of the number of people unsuspectingly developing, or living with, chronic cardiovascular and neurological conditions for decades.
As a matter of fact, according to the World Health Organization, cardiovascular diseases (CVD) are the number one cause of death worldwide, responsible for an estimated 17.1 million deaths in 2004 (i.e., 29% of all deaths worldwide) and an economic fallout in the billions. Moreover, neurological diseases including strokes, neuromotor ailments and sleep disorders affect up to 1 billion people globally, and are a significant cause of morbidity and mortality (i.e., 12% of all deaths globally). These increasingly prevalent cardiac and neurological diseases require escalating levels of supervision and medical management, which are contributing to skyrocketing healthcare costs and, more importantly, are unsustainable for traditional healthcare infrastructures. Wireless body sensor network (WBSN) technologies promise to offer large-scale and cost-effective solutions to this problem. Outfitting patients with wearable, miniaturized and wireless sensors able to measure, pre-process and wirelessly report cardiac and neurological signals to telehealth providers would enable the required personalized, long-term and real-time remote monitoring of chronic patients, its seamless integration with the patients medical record and its coordination with nursing/medical support [[http://www.nano-tera.ch/nanoterawiki/Restaurants restaurants]].
To successfully deploy WBSNs able to perform long-term, remote and clinically relevant monitoring of chronic patients in free-living conditions, it is critical that sensor devices become vanishingly small and autonomous, while retaining their embedded intelligence and wireless capabilities. Devices in use today operate on Li-on battery that provides about 1 Watt-hour of energy, and were shown to exhibit, for instance, an autonomy of less than a day for single-lead cardiac bioelectrical signal (i.e., electrocardiogram or ECG) sensing and wireless streaming. This ridiculously low autonomy figure is due to the transmission of uncompressed ECG data over power-hungry wireless links. The autonomy figures would be even more compelling for multi-lead ECG and electroencephalogram (EEG) monitoring. Clearly, significant research contributions remain to be made in terms of ultra-low-power embedded compression of ECG and EEG signals and ultra-low-power wireless WBSN connectivity. Within this project, we propose a novel and promising approach to tackle the former challenge. More specifically, we devise low-complexity, yet, powerful multi-lead cardiac and neurological bioelectrical compression techniques and design their supporting ultra-low-power sensor digital processing platform.
Capitalizing on the largely sparse nature of ECG and EEG, we propose to apply the emerging approach to joint sensing and compression for this class of signals, so-called compressed sensing (CS), which promises significant compression ratios while using computationally light linear encoders. This approach is particularly attractive and promising for our target ultra-low-power WBSN-based monitoring systems because the sensor node can very efficiently jointly compress the acquired ECG/EEG signals through a small number of linear signal-independent measurements while preserving their underlying information; only this small number of measurements will be wirelessly transmitted to the remote telehealth center, where the full multi-lead records can be accurately reconstructed using complex non-linear decoding. More importantly, we propose to design a new sensor embedded platform that effectively implements the compressed sensing of cardiac and neurological bioelectrical signals. If successful, this project could lead to a new way of thinking and designing wireless sensing platforms, and would be a the first to demonstrate the ultra-low-power benefits of compressed sensing for cardiac and neurological bioelectrical signals.
Deletions:
[[http://www.purchaseanabolicsteroids.com/ Anabolic steroids]] , technically known as anabolic-androgen steroids (AAS) or colloquially as steroids (or even roids), are drugs that mimic the effects of testosterone and dihydrotestosterone in the body. They increase protein synthesis within cells, which results in the buildup of cellular tissue (anabolism), especially in muscles. Anabolic steroids also have androgenic and virilizing properties, including the development and maintenance of masculine characteristics such as the growth of the vocal cords, testicles, and body hair (secondary sexual characteristics). Anabolic steroids for strong builds & healthy life. Purchase [[http://www.purchaseanabolicsteroids.com/ Anabolic steroids]] sells all kind of bodybuilding supplements designed to improve your body.
[[http://armycardonation.org car donation]]
[[http://autocardonation.org auto donation]]
[[http://carinsurancecompanieshelp.com car insurance companies]]
[[http://vehicleinsurancefinder.com vehicle insurance]]
[[http://btosex.com car insurance companies]]
[[http://forelder.com car insurance comparisons]]
[[http://n0way.com car insurance comparisons]]
[[http://phusex.com car insurance comparisons]]

Revision [12638]

Edited on 2012-04-09 15:03:08 by CaraMouna
Additions:
[[http://www.purchaseanabolicsteroids.com/ Anabolic steroids]] , technically known as anabolic-androgen steroids (AAS) or colloquially as steroids (or even roids), are drugs that mimic the effects of testosterone and dihydrotestosterone in the body. They increase protein synthesis within cells, which results in the buildup of cellular tissue (anabolism), especially in muscles. Anabolic steroids also have androgenic and virilizing properties, including the development and maintenance of masculine characteristics such as the growth of the vocal cords, testicles, and body hair (secondary sexual characteristics). Anabolic steroids for strong builds & healthy life. Purchase [[http://www.purchaseanabolicsteroids.com/ Anabolic steroids]] sells all kind of bodybuilding supplements designed to improve your body.
Deletions:
[[http://carinsurancecomparisonhelp.com car insurance comparison]]
[[http://carinsurancecomparisonshelp.com car insurance comparisons]]

Revision [12241]

Edited on 2012-04-06 16:11:24 by WikiMouse
Additions:
[[http://armycardonation.org car donation]]
[[http://autocardonation.org auto donation]]
[[http://carinsurancecompanieshelp.com car insurance companies]]
[[http://carinsurancecomparisonhelp.com car insurance comparison]]
[[http://carinsurancecomparisonshelp.com car insurance comparisons]]
[[http://vehicleinsurancefinder.com vehicle insurance]]
[[http://btosex.com car insurance companies]]
[[http://forelder.com car insurance comparisons]]
[[http://n0way.com car insurance comparisons]]
[[http://phusex.com car insurance comparisons]]
Deletions:
====BioCS-Node: Enabling Ultra-Low-Power Ambulatory Monitoring of Cardiac and Neurological Bioelectrical Signals Using Compressed Sensing====
Our modern society is today threatened by an incipient healthcare delivery crisis caused by current demographic and lifestyle trends. On the one hand the worlds population is aging quickly, resulting in an increased prevalence of cardiac and neurological disorders. On the other hand, our busy lifestyles leave little time and [[http://www.nano-tera.ch/nanoterawiki/AccommodationDaylesford holiday accommodation]] for fitness, healthy diet management and mental wellness, and are fuelling the rise of the number of people unsuspectingly developing, or living with, chronic cardiovascular and neurological conditions for decades.
As a matter of fact, according to the World Health Organization, cardiovascular diseases (CVD) are the number one cause of death worldwide, responsible for an estimated 17.1 million deaths in 2004 (i.e., 29% of all deaths worldwide) and an economic fallout in the billions. Moreover, neurological diseases including strokes, neuromotor ailments and sleep disorders affect up to 1 billion people globally, and are a significant cause of morbidity and mortality (i.e., 12% of all deaths globally). These increasingly prevalent cardiac and neurological diseases require escalating levels of supervision and medical management, which are contributing to skyrocketing healthcare costs and, more importantly, are unsustainable for traditional healthcare infrastructures. Wireless body sensor network (WBSN) technologies promise to offer large-scale and cost-effective solutions to this problem. Outfitting patients with wearable, miniaturized and wireless sensors able to measure, pre-process and wirelessly report cardiac and neurological signals to telehealth providers would enable the required personalized, long-term and real-time remote monitoring of chronic patients, its seamless integration with the patients medical record and its coordination with nursing/medical support [[http://www.nano-tera.ch/nanoterawiki/Restaurants restaurants]].
To successfully deploy WBSNs able to perform long-term, remote and clinically relevant monitoring of chronic patients in free-living conditions, it is critical that sensor devices become vanishingly small and autonomous, while retaining their embedded intelligence and wireless capabilities. Devices in use today operate on Li-on battery that provides about 1 Watt-hour of energy, and were shown to exhibit, for instance, an autonomy of less than a day for single-lead cardiac bioelectrical signal (i.e., electrocardiogram or ECG) sensing and wireless streaming. This ridiculously low autonomy figure is due to the transmission of uncompressed ECG data over power-hungry wireless links. The autonomy figures would be even more compelling for multi-lead ECG and electroencephalogram (EEG) monitoring. Clearly, significant research contributions remain to be made in terms of ultra-low-power embedded compression of ECG and EEG signals and ultra-low-power wireless WBSN connectivity. Within this project, we propose a novel and promising approach to tackle the former challenge. More specifically, we devise low-complexity, yet, powerful multi-lead cardiac and neurological bioelectrical compression techniques and design their supporting ultra-low-power sensor digital processing platform.
Capitalizing on the largely sparse nature of ECG and EEG, we propose to apply the emerging approach to joint sensing and compression for this class of signals, so-called compressed sensing (CS), which promises significant compression ratios while using computationally light linear encoders. This approach is particularly attractive and promising for our target ultra-low-power WBSN-based monitoring systems because the sensor node can very efficiently jointly compress the acquired ECG/EEG signals through a small number of linear signal-independent measurements while preserving their underlying information; only this small number of measurements will be wirelessly transmitted to the remote telehealth center, where the full multi-lead records can be accurately reconstructed using complex non-linear decoding. More importantly, we propose to design a new sensor embedded platform that effectively implements the compressed sensing of cardiac and neurological bioelectrical signals. If successful, this project could lead to a new way of thinking and designing wireless sensing platforms, and would be a the first to demonstrate the ultra-low-power benefits of compressed sensing for cardiac and neurological bioelectrical signals.

Revision [12225]

Edited on 2012-04-06 08:12:00 by WentForgold
Additions:
====BioCS-Node: Enabling Ultra-Low-Power Ambulatory Monitoring of Cardiac and Neurological Bioelectrical Signals Using Compressed Sensing====
Our modern society is today threatened by an incipient healthcare delivery crisis caused by current demographic and lifestyle trends. On the one hand the worlds population is aging quickly, resulting in an increased prevalence of cardiac and neurological disorders. On the other hand, our busy lifestyles leave little time and [[http://www.nano-tera.ch/nanoterawiki/AccommodationDaylesford holiday accommodation]] for fitness, healthy diet management and mental wellness, and are fuelling the rise of the number of people unsuspectingly developing, or living with, chronic cardiovascular and neurological conditions for decades.
As a matter of fact, according to the World Health Organization, cardiovascular diseases (CVD) are the number one cause of death worldwide, responsible for an estimated 17.1 million deaths in 2004 (i.e., 29% of all deaths worldwide) and an economic fallout in the billions. Moreover, neurological diseases including strokes, neuromotor ailments and sleep disorders affect up to 1 billion people globally, and are a significant cause of morbidity and mortality (i.e., 12% of all deaths globally). These increasingly prevalent cardiac and neurological diseases require escalating levels of supervision and medical management, which are contributing to skyrocketing healthcare costs and, more importantly, are unsustainable for traditional healthcare infrastructures. Wireless body sensor network (WBSN) technologies promise to offer large-scale and cost-effective solutions to this problem. Outfitting patients with wearable, miniaturized and wireless sensors able to measure, pre-process and wirelessly report cardiac and neurological signals to telehealth providers would enable the required personalized, long-term and real-time remote monitoring of chronic patients, its seamless integration with the patients medical record and its coordination with nursing/medical support [[http://www.nano-tera.ch/nanoterawiki/Restaurants restaurants]].
To successfully deploy WBSNs able to perform long-term, remote and clinically relevant monitoring of chronic patients in free-living conditions, it is critical that sensor devices become vanishingly small and autonomous, while retaining their embedded intelligence and wireless capabilities. Devices in use today operate on Li-on battery that provides about 1 Watt-hour of energy, and were shown to exhibit, for instance, an autonomy of less than a day for single-lead cardiac bioelectrical signal (i.e., electrocardiogram or ECG) sensing and wireless streaming. This ridiculously low autonomy figure is due to the transmission of uncompressed ECG data over power-hungry wireless links. The autonomy figures would be even more compelling for multi-lead ECG and electroencephalogram (EEG) monitoring. Clearly, significant research contributions remain to be made in terms of ultra-low-power embedded compression of ECG and EEG signals and ultra-low-power wireless WBSN connectivity. Within this project, we propose a novel and promising approach to tackle the former challenge. More specifically, we devise low-complexity, yet, powerful multi-lead cardiac and neurological bioelectrical compression techniques and design their supporting ultra-low-power sensor digital processing platform.
Capitalizing on the largely sparse nature of ECG and EEG, we propose to apply the emerging approach to joint sensing and compression for this class of signals, so-called compressed sensing (CS), which promises significant compression ratios while using computationally light linear encoders. This approach is particularly attractive and promising for our target ultra-low-power WBSN-based monitoring systems because the sensor node can very efficiently jointly compress the acquired ECG/EEG signals through a small number of linear signal-independent measurements while preserving their underlying information; only this small number of measurements will be wirelessly transmitted to the remote telehealth center, where the full multi-lead records can be accurately reconstructed using complex non-linear decoding. More importantly, we propose to design a new sensor embedded platform that effectively implements the compressed sensing of cardiac and neurological bioelectrical signals. If successful, this project could lead to a new way of thinking and designing wireless sensing platforms, and would be a the first to demonstrate the ultra-low-power benefits of compressed sensing for cardiac and neurological bioelectrical signals.
Deletions:
[[http://armycardonation.org car donation]]
[[http://autocardonation.org auto donation]]
[[http://carinsurancecompanieshelp.com car insurance companies]]
[[http://carinsurancecomparisonhelp.com car insurance comparison]]
[[http://carinsurancecomparisonshelp.com car insurance comparisons]]
[[http://vehicleinsurancefinder.com vehicle insurance]]
[[http://btosex.com car insurance companies]]
[[http://forelder.com car insurance comparisons]]
[[http://n0way.com car insurance comparisons]]
[[http://phusex.com car insurance comparisons]]

Revision [12195]

Edited on 2012-04-05 20:45:11 by WikiMouse
Additions:
[[http://armycardonation.org car donation]]
[[http://autocardonation.org auto donation]]
[[http://carinsurancecompanieshelp.com car insurance companies]]
[[http://carinsurancecomparisonhelp.com car insurance comparison]]
[[http://carinsurancecomparisonshelp.com car insurance comparisons]]
[[http://vehicleinsurancefinder.com vehicle insurance]]
[[http://btosex.com car insurance companies]]
[[http://forelder.com car insurance comparisons]]
[[http://n0way.com car insurance comparisons]]
[[http://phusex.com car insurance comparisons]]
Deletions:
====BioCS-Node: Enabling Ultra-Low-Power Ambulatory Monitoring of Cardiac and Neurological Bioelectrical Signals Using Compressed Sensing====
Our modern society is today threatened by an incipient healthcare delivery crisis caused by current demographic and lifestyle trends. On the one hand the worlds population is aging quickly, resulting in an increased prevalence of cardiac and neurological disorders. On the other hand, our busy lifestyles leave little time and [[http://www.nano-tera.ch/nanoterawiki/AccommodationDaylesford holiday accommodation]] for fitness, healthy diet management and mental wellness, and are fuelling the rise of the number of people unsuspectingly developing, or living with, chronic cardiovascular and neurological conditions for decades.
As a matter of fact, according to the World Health Organization, cardiovascular diseases (CVD) are the number one cause of death worldwide, responsible for an estimated 17.1 million deaths in 2004 (i.e., 29% of all deaths worldwide) and an economic fallout in the billions. Moreover, neurological diseases including strokes, neuromotor ailments and sleep disorders affect up to 1 billion people globally, and are a significant cause of morbidity and mortality (i.e., 12% of all deaths globally). These increasingly prevalent cardiac and neurological diseases require escalating levels of supervision and medical management, which are contributing to skyrocketing healthcare costs and, more importantly, are unsustainable for traditional healthcare infrastructures. Wireless body sensor network (WBSN) technologies promise to offer large-scale and cost-effective solutions to this problem. Outfitting patients with wearable, miniaturized and wireless sensors able to measure, pre-process and wirelessly report cardiac and neurological signals to telehealth providers would enable the required personalized, long-term and real-time remote monitoring of chronic patients, its seamless integration with the patients medical record and its coordination with nursing/medical support [[http://www.nano-tera.ch/nanoterawiki/Restaurants restaurants]].
To successfully deploy WBSNs able to perform long-term, remote and clinically relevant monitoring of chronic patients in free-living conditions, it is critical that sensor devices become vanishingly small and autonomous, while retaining their embedded intelligence and wireless capabilities. Devices in use today operate on Li-on battery that provides about 1 Watt-hour of energy, and were shown to exhibit, for instance, an autonomy of less than a day for single-lead cardiac bioelectrical signal (i.e., electrocardiogram or ECG) sensing and wireless streaming. This ridiculously low autonomy figure is due to the transmission of uncompressed ECG data over power-hungry wireless links. The autonomy figures would be even more compelling for multi-lead ECG and electroencephalogram (EEG) monitoring. Clearly, significant research contributions remain to be made in terms of ultra-low-power embedded compression of ECG and EEG signals and ultra-low-power wireless WBSN connectivity. Within this project, we propose a novel and promising approach to tackle the former challenge. More specifically, we devise low-complexity, yet, powerful multi-lead cardiac and neurological bioelectrical compression techniques and design their supporting ultra-low-power sensor digital processing platform.
Capitalizing on the largely sparse nature of ECG and EEG, we propose to apply the emerging approach to joint sensing and compression for this class of signals, so-called compressed sensing (CS), which promises significant compression ratios while using computationally light linear encoders. This approach is particularly attractive and promising for our target ultra-low-power WBSN-based monitoring systems because the sensor node can very efficiently jointly compress the acquired ECG/EEG signals through a small number of linear signal-independent measurements while preserving their underlying information; only this small number of measurements will be wirelessly transmitted to the remote telehealth center, where the full multi-lead records can be accurately reconstructed using complex non-linear decoding. More importantly, we propose to design a new sensor embedded platform that effectively implements the compressed sensing of cardiac and neurological bioelectrical signals. If successful, this project could lead to a new way of thinking and designing wireless sensing platforms, and would be a the first to demonstrate the ultra-low-power benefits of compressed sensing for cardiac and neurological bioelectrical signals.

Revision [12179]

Edited on 2012-04-05 14:13:03 by WentForgold
Additions:
====BioCS-Node: Enabling Ultra-Low-Power Ambulatory Monitoring of Cardiac and Neurological Bioelectrical Signals Using Compressed Sensing====
Our modern society is today threatened by an incipient healthcare delivery crisis caused by current demographic and lifestyle trends. On the one hand the worlds population is aging quickly, resulting in an increased prevalence of cardiac and neurological disorders. On the other hand, our busy lifestyles leave little time and [[http://www.nano-tera.ch/nanoterawiki/AccommodationDaylesford holiday accommodation]] for fitness, healthy diet management and mental wellness, and are fuelling the rise of the number of people unsuspectingly developing, or living with, chronic cardiovascular and neurological conditions for decades.
As a matter of fact, according to the World Health Organization, cardiovascular diseases (CVD) are the number one cause of death worldwide, responsible for an estimated 17.1 million deaths in 2004 (i.e., 29% of all deaths worldwide) and an economic fallout in the billions. Moreover, neurological diseases including strokes, neuromotor ailments and sleep disorders affect up to 1 billion people globally, and are a significant cause of morbidity and mortality (i.e., 12% of all deaths globally). These increasingly prevalent cardiac and neurological diseases require escalating levels of supervision and medical management, which are contributing to skyrocketing healthcare costs and, more importantly, are unsustainable for traditional healthcare infrastructures. Wireless body sensor network (WBSN) technologies promise to offer large-scale and cost-effective solutions to this problem. Outfitting patients with wearable, miniaturized and wireless sensors able to measure, pre-process and wirelessly report cardiac and neurological signals to telehealth providers would enable the required personalized, long-term and real-time remote monitoring of chronic patients, its seamless integration with the patients medical record and its coordination with nursing/medical support [[http://www.nano-tera.ch/nanoterawiki/Restaurants restaurants]].
To successfully deploy WBSNs able to perform long-term, remote and clinically relevant monitoring of chronic patients in free-living conditions, it is critical that sensor devices become vanishingly small and autonomous, while retaining their embedded intelligence and wireless capabilities. Devices in use today operate on Li-on battery that provides about 1 Watt-hour of energy, and were shown to exhibit, for instance, an autonomy of less than a day for single-lead cardiac bioelectrical signal (i.e., electrocardiogram or ECG) sensing and wireless streaming. This ridiculously low autonomy figure is due to the transmission of uncompressed ECG data over power-hungry wireless links. The autonomy figures would be even more compelling for multi-lead ECG and electroencephalogram (EEG) monitoring. Clearly, significant research contributions remain to be made in terms of ultra-low-power embedded compression of ECG and EEG signals and ultra-low-power wireless WBSN connectivity. Within this project, we propose a novel and promising approach to tackle the former challenge. More specifically, we devise low-complexity, yet, powerful multi-lead cardiac and neurological bioelectrical compression techniques and design their supporting ultra-low-power sensor digital processing platform.
Capitalizing on the largely sparse nature of ECG and EEG, we propose to apply the emerging approach to joint sensing and compression for this class of signals, so-called compressed sensing (CS), which promises significant compression ratios while using computationally light linear encoders. This approach is particularly attractive and promising for our target ultra-low-power WBSN-based monitoring systems because the sensor node can very efficiently jointly compress the acquired ECG/EEG signals through a small number of linear signal-independent measurements while preserving their underlying information; only this small number of measurements will be wirelessly transmitted to the remote telehealth center, where the full multi-lead records can be accurately reconstructed using complex non-linear decoding. More importantly, we propose to design a new sensor embedded platform that effectively implements the compressed sensing of cardiac and neurological bioelectrical signals. If successful, this project could lead to a new way of thinking and designing wireless sensing platforms, and would be a the first to demonstrate the ultra-low-power benefits of compressed sensing for cardiac and neurological bioelectrical signals.
Deletions:
[[http://armycardonation.org car donation]]
[[http://autocardonation.org auto donation]]
[[http://carinsurancecompanieshelp.com car insurance companies]]
[[http://carinsurancecomparisonhelp.com car insurance comparison]]
[[http://carinsurancecomparisonshelp.com car insurance comparisons]]
[[http://vehicleinsurancefinder.com vehicle insurance]]
[[http://btosex.com car insurance companies]]
[[http://forelder.com car insurance comparisons]]
[[http://n0way.com car insurance comparisons]]
[[http://phusex.com car insurance comparisons]]

Revision [12133]

Edited on 2012-04-05 04:04:02 by WikiMouse
Additions:
[[http://armycardonation.org car donation]]
[[http://autocardonation.org auto donation]]
[[http://carinsurancecompanieshelp.com car insurance companies]]
[[http://carinsurancecomparisonhelp.com car insurance comparison]]
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[[http://vehicleinsurancefinder.com vehicle insurance]]
[[http://btosex.com car insurance companies]]
[[http://forelder.com car insurance comparisons]]
[[http://n0way.com car insurance comparisons]]
[[http://phusex.com car insurance comparisons]]
Deletions:
[[http://www.faxlesspaydayloans7.com/ Faxless Payday Loans]]
[[http://www.einternet-marketing.com/ Internet Marketing Tips]]
[[http://www.newmobilehandsets.com/ Mobile Phone Reviews]]

Revision [12132]

Edited on 2012-04-05 04:02:13 by Hem1234
Additions:
[[http://www.faxlesspaydayloans7.com/ Faxless Payday Loans]]
[[http://www.einternet-marketing.com/ Internet Marketing Tips]]
[[http://www.newmobilehandsets.com/ Mobile Phone Reviews]]
Deletions:
[[http://armycardonation.org car donation]]
[[http://autocardonation.org auto donation]]
[[http://carinsurancecompanieshelp.com car insurance companies]]
[[http://carinsurancecomparisonhelp.com car insurance comparison]]
[[http://carinsurancecomparisonshelp.com car insurance comparisons]]
[[http://vehicleinsurancefinder.com vehicle insurance]]
[[http://btosex.com car insurance companies]]
[[http://forelder.com car insurance comparisons]]
[[http://n0way.com car insurance comparisons]]
[[http://phusex.com car insurance comparisons]]

Revision [12115]

Edited on 2012-04-05 02:32:11 by WikiMouse
Additions:
[[http://armycardonation.org car donation]]
[[http://autocardonation.org auto donation]]
[[http://carinsurancecompanieshelp.com car insurance companies]]
[[http://carinsurancecomparisonhelp.com car insurance comparison]]
[[http://carinsurancecomparisonshelp.com car insurance comparisons]]
[[http://vehicleinsurancefinder.com vehicle insurance]]
[[http://btosex.com car insurance companies]]
[[http://forelder.com car insurance comparisons]]
[[http://n0way.com car insurance comparisons]]
[[http://phusex.com car insurance comparisons]]
Deletions:
====BioCS-Node: Enabling Ultra-Low-Power Ambulatory Monitoring of Cardiac and Neurological Bioelectrical Signals Using Compressed Sensing====
Our modern society is today threatened by an incipient healthcare delivery crisis caused by current demographic and lifestyle trends. On the one hand the worlds population is aging quickly, resulting in an increased prevalence of cardiac and neurological disorders. On the other hand, our busy lifestyles leave little time and [[http://www.nano-tera.ch/nanoterawiki/AccommodationDaylesford holiday accommodation]] for fitness, healthy diet management and mental wellness, and are fuelling the rise of the number of people unsuspectingly developing, or living with, chronic cardiovascular and neurological conditions for decades.
As a matter of fact, according to the World Health Organization, cardiovascular diseases (CVD) are the number one cause of death worldwide, responsible for an estimated 17.1 million deaths in 2004 (i.e., 29% of all deaths worldwide) and an economic fallout in the billions. Moreover, neurological diseases including strokes, neuromotor ailments and sleep disorders affect up to 1 billion people globally, and are a significant cause of morbidity and mortality (i.e., 12% of all deaths globally). These increasingly prevalent cardiac and neurological diseases require escalating levels of supervision and medical management, which are contributing to skyrocketing healthcare costs and, more importantly, are unsustainable for traditional healthcare infrastructures. Wireless body sensor network (WBSN) technologies promise to offer large-scale and cost-effective solutions to this problem. Outfitting patients with wearable, miniaturized and wireless sensors able to measure, pre-process and wirelessly report cardiac and neurological signals to telehealth providers would enable the required personalized, long-term and real-time remote monitoring of chronic patients, its seamless integration with the patients medical record and its coordination with nursing/medical support [[http://www.nano-tera.ch/nanoterawiki/Restaurants restaurants]].
To successfully deploy WBSNs able to perform long-term, remote and clinically relevant monitoring of chronic patients in free-living conditions, it is critical that sensor devices become vanishingly small and autonomous, while retaining their embedded intelligence and wireless capabilities. Devices in use today operate on Li-on battery that provides about 1 Watt-hour of energy, and were shown to exhibit, for instance, an autonomy of less than a day for single-lead cardiac bioelectrical signal (i.e., electrocardiogram or ECG) sensing and wireless streaming. This ridiculously low autonomy figure is due to the transmission of uncompressed ECG data over power-hungry wireless links. The autonomy figures would be even more compelling for multi-lead ECG and electroencephalogram (EEG) monitoring. Clearly, significant research contributions remain to be made in terms of ultra-low-power embedded compression of ECG and EEG signals and ultra-low-power wireless WBSN connectivity. Within this project, we propose a novel and promising approach to tackle the former challenge. More specifically, we devise low-complexity, yet, powerful multi-lead cardiac and neurological bioelectrical compression techniques and design their supporting ultra-low-power sensor digital processing platform.
Capitalizing on the largely sparse nature of ECG and EEG, we propose to apply the emerging approach to joint sensing and compression for this class of signals, so-called compressed sensing (CS), which promises significant compression ratios while using computationally light linear encoders. This approach is particularly attractive and promising for our target ultra-low-power WBSN-based monitoring systems because the sensor node can very efficiently jointly compress the acquired ECG/EEG signals through a small number of linear signal-independent measurements while preserving their underlying information; only this small number of measurements will be wirelessly transmitted to the remote telehealth center, where the full multi-lead records can be accurately reconstructed using complex non-linear decoding. More importantly, we propose to design a new sensor embedded platform that effectively implements the compressed sensing of cardiac and neurological bioelectrical signals. If successful, this project could lead to a new way of thinking and designing wireless sensing platforms, and would be a the first to demonstrate the ultra-low-power benefits of compressed sensing for cardiac and neurological bioelectrical signals.

Revision [12108]

Edited on 2012-04-05 02:24:48 by WentForgold
Additions:
====BioCS-Node: Enabling Ultra-Low-Power Ambulatory Monitoring of Cardiac and Neurological Bioelectrical Signals Using Compressed Sensing====
Our modern society is today threatened by an incipient healthcare delivery crisis caused by current demographic and lifestyle trends. On the one hand the worlds population is aging quickly, resulting in an increased prevalence of cardiac and neurological disorders. On the other hand, our busy lifestyles leave little time and [[http://www.nano-tera.ch/nanoterawiki/AccommodationDaylesford holiday accommodation]] for fitness, healthy diet management and mental wellness, and are fuelling the rise of the number of people unsuspectingly developing, or living with, chronic cardiovascular and neurological conditions for decades.
As a matter of fact, according to the World Health Organization, cardiovascular diseases (CVD) are the number one cause of death worldwide, responsible for an estimated 17.1 million deaths in 2004 (i.e., 29% of all deaths worldwide) and an economic fallout in the billions. Moreover, neurological diseases including strokes, neuromotor ailments and sleep disorders affect up to 1 billion people globally, and are a significant cause of morbidity and mortality (i.e., 12% of all deaths globally). These increasingly prevalent cardiac and neurological diseases require escalating levels of supervision and medical management, which are contributing to skyrocketing healthcare costs and, more importantly, are unsustainable for traditional healthcare infrastructures. Wireless body sensor network (WBSN) technologies promise to offer large-scale and cost-effective solutions to this problem. Outfitting patients with wearable, miniaturized and wireless sensors able to measure, pre-process and wirelessly report cardiac and neurological signals to telehealth providers would enable the required personalized, long-term and real-time remote monitoring of chronic patients, its seamless integration with the patients medical record and its coordination with nursing/medical support [[http://www.nano-tera.ch/nanoterawiki/Restaurants restaurants]].
To successfully deploy WBSNs able to perform long-term, remote and clinically relevant monitoring of chronic patients in free-living conditions, it is critical that sensor devices become vanishingly small and autonomous, while retaining their embedded intelligence and wireless capabilities. Devices in use today operate on Li-on battery that provides about 1 Watt-hour of energy, and were shown to exhibit, for instance, an autonomy of less than a day for single-lead cardiac bioelectrical signal (i.e., electrocardiogram or ECG) sensing and wireless streaming. This ridiculously low autonomy figure is due to the transmission of uncompressed ECG data over power-hungry wireless links. The autonomy figures would be even more compelling for multi-lead ECG and electroencephalogram (EEG) monitoring. Clearly, significant research contributions remain to be made in terms of ultra-low-power embedded compression of ECG and EEG signals and ultra-low-power wireless WBSN connectivity. Within this project, we propose a novel and promising approach to tackle the former challenge. More specifically, we devise low-complexity, yet, powerful multi-lead cardiac and neurological bioelectrical compression techniques and design their supporting ultra-low-power sensor digital processing platform.
Capitalizing on the largely sparse nature of ECG and EEG, we propose to apply the emerging approach to joint sensing and compression for this class of signals, so-called compressed sensing (CS), which promises significant compression ratios while using computationally light linear encoders. This approach is particularly attractive and promising for our target ultra-low-power WBSN-based monitoring systems because the sensor node can very efficiently jointly compress the acquired ECG/EEG signals through a small number of linear signal-independent measurements while preserving their underlying information; only this small number of measurements will be wirelessly transmitted to the remote telehealth center, where the full multi-lead records can be accurately reconstructed using complex non-linear decoding. More importantly, we propose to design a new sensor embedded platform that effectively implements the compressed sensing of cardiac and neurological bioelectrical signals. If successful, this project could lead to a new way of thinking and designing wireless sensing platforms, and would be a the first to demonstrate the ultra-low-power benefits of compressed sensing for cardiac and neurological bioelectrical signals.
Deletions:
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Revision [12104]

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