TY - GEN
T1 - Pervasive embedded real time monitoring of EEG & SpO2
AU - Cheriyan, Ajay M.
AU - Kalbarczyk, Zbigniew
AU - Iyer, Ravishankar K.
AU - Jarvi, Albert O.
AU - Gallagher, Tanya Montaleone
AU - Watkin, Kenneth Lloyd
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Cognitive decline
KW - EEG and SpO2
KW - Embedded monitoring
UR - http://www.scopus.com/inward/record.url?scp=70350784294&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350784294&partnerID=8YFLogxK
U2 - 10.4108/ICST.PERVASIVEHEALTH2009.6044
DO - 10.4108/ICST.PERVASIVEHEALTH2009.6044
M3 - Conference contribution
AN - SCOPUS:70350784294
SN - 9789639799424
T3 - 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009
BT - 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009
T2 - 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009
Y2 - 1 April 2009 through 3 April 2009
ER -