Title :
A 259.6μW nonlinear HRV-EEG chaos processor with body channel communication interface for mental health monitoring
Author :
Roh, Taehwan ; Hong, Sunjoo ; Cho, Hyunwoo ; Yoo, Hoi-Jun
Author_Institution :
KAIST, Daejeon, South Korea
Abstract :
In this paper, we present a wearable mental health measurement system incorporating the nonlinear analysis of physiological rhythm including HRV and EEG signals together for high accuracy. The proposed system is implemented in a 31g headband that measures scalp signals and performs nonlinear-chaotic analysis to measure the stress levels. Using a 1.2V 40mAhr coin-battery (11.7χ5.35mm21.7g), the proposed system is able to operate for more than 7 days.
Keywords :
biomedical communication; chaos; electroencephalography; measurement systems; patient monitoring; EEG signals; body channel communication interface; coin-battery; heart rate variability; mental health monitoring; nonlinear HRV-EEG chaos processor; nonlinear-chaotic analysis; physiological rhythm nonlinear analysis; power 259.6 muW; scalp signal measurement; stress level measurement; voltage 1.2 V; wearable mental health measurement system; Biomedical monitoring; Electroencephalography; Heart rate variability; Integrated circuits; Monitoring; Scalp; Stress;
Conference_Titel :
Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2012 IEEE International
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4673-0376-7
DOI :
10.1109/ISSCC.2012.6177020
