A 259.6μW nonlinear HRV-EEG chaos processor with body channel communication interface for mental health monitoring

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.