loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)
HealthGear: A Real-time Wearable System for Monitoring and Analyzing Physiological Signals
Cambridge, Massachusetts, U.S.A
April 03-April 05
ISBN: 0-7695-2547-4
ASCII Text
x 
 
Nuria Oliver, Fernando Flores-Mangas, "HealthGear: A Real-time Wearable System for Monitoring and Analyzing Physiological Signals," Wearable and Implantable Body Sensor Networks, International Workshop on, pp. 61-64, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/BSN.2006.27,
author = {Nuria Oliver and Fernando Flores-Mangas},
title = {HealthGear: A Real-time Wearable System for Monitoring and Analyzing Physiological Signals},
journal ={Wearable and Implantable Body Sensor Networks, International Workshop on},
volume = {0},
year = {2006},
isbn = {0-7695-2547-4},
pages = {61-64},
doi = {http://doi.ieeecomputersociety.org/10.1109/BSN.2006.27},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Wearable and Implantable Body Sensor Networks, International Workshop on
TI - HealthGear: A Real-time Wearable System for Monitoring and Analyzing Physiological Signals
SN - 0-7695-2547-4
SP61
EP64
A1 - Nuria Oliver,
A1 - Fernando Flores-Mangas,
PY - 2006
KW - null
VL - 0
JA - Wearable and Implantable Body Sensor Networks, International Workshop on
ER -
 
Nuria Oliver, Microsoft Research, Redmond, WA
Fernando Flores-Mangas, cs.toronto.edu
We present HealthGear, a real-time wearable system for monitoring, visualizing and analyzing physiological signals. HealthGear consists of a set of non-invasive physiological sensors wirelessly connected via Bluetooth to a cell phone which stores, transmits and analyzes the physiological data, and presents it to the user in an intelligible way. In this paper, we focus on an implementation of HealthGear using a blood oximeter to monitor the user?s blood oxygen level and pulse while sleeping. We also describe two different algorithms for automatically detecting sleep apnea events, and illustrate the performance of the overall system in a sleep study with 20 volunteers.
Citation:
Nuria Oliver, Fernando Flores-Mangas, "HealthGear: A Real-time Wearable System for Monitoring and Analyzing Physiological Signals," bsn, pp.61-64, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.