Pervasive embedded real time monitoring of EEG & SpO2

Ajay M. Cheriyan, Zbigniew T Kalbarczyk, Ravishankar K Iyer, Albert O. Jarvi, Tanya Montaleone Gallagher, Kenneth L. Watkin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent research has underscored the potential role of analysis of EEG signals as indicators of cognitive decline. In addition, we have also seen the emergence of embedded systems that are capable of analyzing biological signals in real time to track a number of physiological variables and make accurate conclusions about the individual's physiological status and health. This paper presents the design of an embedded system which is capable of tracking relevant bio-signals from the person in real time and facilitating a dependable decision making process that provides alerts for potential brain activity changes. The design focuses around the use of sensors and a processing element. It incorporates the use of electroencephalography (EEG) and oxygen saturation (SpO2) signals. As an early proof-of-concept, our system collects data from the sensors, performs initial processing and provides the framework to compute significant physiological variables.

Original languageEnglish (US)
Title of host publication2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009
DOIs
StatePublished - Nov 11 2009
Event2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009 - London, United Kingdom
Duration: Apr 1 2009Apr 3 2009

Publication series

Name2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009

Other

Other2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009
Country/TerritoryUnited Kingdom
CityLondon
Period4/1/094/3/09

Keywords

  • Cognitive decline
  • EEG and SpO2
  • Embedded monitoring

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Health Informatics
  • Health Information Management

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