DocumentCode
3612877
Title
A Wearable EEG-HEG-HRV Multimodal System With Simultaneous Monitoring of tES for Mental Health Management
Author
Ha, Unsoo ; Lee, Yongsu ; Kim, Hyunki ; Roh, Taehwan ; Bae, Joonsung ; Kim, Changhyeon ; Yoo, Hoi-Jun
Author_Institution
School of Electrical Engineering, Korea Advanced Institute of Technology (KAIST), Daejeon, Korea
Volume
9
Issue
6
fYear
2015
Firstpage
758
Lastpage
766
Abstract
A multimodal mental management system in the shape of the wearable headband and earplugs is proposed to monitor electroencephalography (EEG), hemoencephalography (HEG) and heart rate variability (HRV) for accurate mental health monitoring. It enables simultaneous transcranial electrical stimulation (tES) together with real-time monitoring. The total weight of the proposed system is less than 200 g. The multi-loop low-noise amplifier (MLLNA) achieves over 130 dB CMRR for EEG sensing and the capacitive correlated-double sampling transimpedance amplifier (CCTIA) has low-noise characteristics for HEG and HRV sensing. Measured three-physiology domains such as neural, vascular and autonomic domain signals are combined with canonical correlation analysis (CCA) and temporal kernel canonical correlation analysis (tkCCA) algorithm to find the neural-vascular-autonomic coupling. It supports highly accurate classification with the 19% maximum improvement with multimodal monitoring. For the multi-channel stimulation functionality, after-effects maximization monitoring and sympathetic nerve disorder monitoring, the stimulator is designed as reconfigurable. The 3.37
2.25 mm
chip has 2-channel EEG sensor front-end, 2-channel NIRS sensor front-end, NIRS current driver to drive dual-wavelength VCSEL and 6-b DAC current source for tES mode. It dissipates 24 mW with 2 mA stimulation current and 5 mA NIRS driver current.
Keywords
Biomedical monitoring; Electrical stimulation; Electroencephalography; Heart rate variability; Stress; Canonical correlation analysis; electroencephalography; heart-rate variability; hemoencephalography; n-back task; stress management; transcranial electrical stimulation;
fLanguage
English
Journal_Title
Biomedical Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
1932-4545
Type
jour
DOI
10.1109/TBCAS.2015.2504959
Filename
7373691
Link To Document