JOURNAL OF COMMUNICATIONS (JCM)
ISSN : 1796-2021
Volume : 2    Issue : 2    Date : March 2007

HealthGear: Automatic Sleep Apnea Detection and Monitoring with a Mobile Phone
Nuria Oliver and Fernando Flores-Mangas
Page(s): 1-9
Full Text:
PDF (440 KB)


Abstract
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.

Index Terms
Wearable physiological sensors and monitoring, sleep apnea, mobile devices, pattern recognition
of physiological signals.