Paper Info
Title
A Wearable EEG-HEG-HRV Multimodal System With Simultaneous Monitoring of tES for Mental Health Management
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 $,times,$ 2.25 mm $^{2}$ 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.
Year
DOI
Venue
2015
10.1109/TBCAS.2015.2504959
IEEE transactions on biomedical circuits and systems
Keywords
Field
DocType
Canonical correlation analysis,electroencephalography,heart-rate variability,hemoencephalography,n-back task,stress management,transcranial electrical stimulation
Computer science,Wearable computer,Current source,Capacitive sensing,Chip,Electronic engineering,Transimpedance amplifier,Hemoencephalography,Electroencephalography,Amplifier
Journal
Volume
Issue
ISSN
PP
99
1932-4545
Citations 
PageRank 
References 
6
0.73
7
Authors
4
Name
Order
Citations
PageRank
Unsoo Ha1449.19
Yongsu Lee2398.50
Hyunki Kim3243.85
Taehwan Roh48113.15