Wearable Mental-health Monitoring Platform with Independent Component Analysis and Nonlinear Chaotic Analysis

被引：0

作者：

Roh, Taehwan ^{[1
]}

Bong, Kyeongryeol ^{[1
]}

Hong, Sunjoo ^{[1
]}

Cho, Hyunwoo ^{[1
]}

Yoo, Hoi-Jun ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Technol, Taejon 305701, South Korea

来源：

2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2012年

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The wearable mental-health monitoring platform is proposed for mobile mental healthcare system. The platform is headband type of 50g and consumes 1.1mW. For the mental health monitoring two specific functions (independent component analysis (ICA) and nonlinear chaotic analysis (NCA)) are implemented into CMOS integrated circuits. ICA extracts heart rate variability (HRV) from EEG, and then NCA extracts the largest lyapunov exponent (LLE) as physiological marker to identify mental stress and states. The extracted HRV is only 1.84% different from the HRV obtained by simple ECG measurement system. With the help of EEG signals, the proposed headband mental monitoring system shows 90% confidence level in stress test, which is better than the test results of only HRV.

引用

页码：4541 / 4544

页数：4