DocumentCode :
11265
Title :
A Wearable Neuro-Feedback System With EEG-Based Mental Status Monitoring and Transcranial Electrical Stimulation
Author :
Taehwan Roh ; Kiseok Song ; Hyunwoo Cho ; Dongjoo Shin ; Hoi-Jun Yoo
Author_Institution :
Dept. of Electr. Eng., KAIST, Daejeon, South Korea
Volume :
8
Issue :
6
fYear :
2014
fDate :
Dec. 2014
Firstpage :
755
Lastpage :
764
Abstract :
A wearable neuro-feedback system is proposed with a low-power neuro-feedback SoC (NFS), which supports mental status monitoring with electroencephalography (EEG) and transcranial electrical stimulation (tES) for neuro-modulation. Self-configured independent component analysis (ICA) is implemented to accelerate source separation at low power. Moreover, an embedded support vector machine (SVM) enables online source classification, configuring the ICA accelerator adaptively depending on the types of the decomposed components. Owing to the hardwired accelerating functions, the NFS dissipates only 4.45 mW to yield 16 independent components. For non-invasive neuro-modulation, tES stimulation up to 2 mA is implemented on the SoC. The NFS is fabricated in 130-nm CMOS technology.
Keywords :
CMOS integrated circuits; electroencephalography; feedback; independent component analysis; medical signal processing; neurophysiology; support vector machines; transcranial magnetic stimulation; CMOS technology; EEG-based mental status monitoring; ICA accelerator; NFS; SVM; current 2 mA; encephalography; hardwired accelerating function; independent component analysis; neuro-feedback SoC; noninvasive neuro-modulation; online source classification; power 4.45 mW; size 130 nm; source separation; support vector machine; tES; transcranial electrical stimulation; wearable neuro-feedback system; Blind source separation; Brain-computer interfaces; Electroencephalography; Feature extraction; Independent component analysis; Neurofeedback; Support vector machines; Blind source separation; brain computer interface; electroencephalography; independent component analysis; wearable healthcare;
fLanguage :
English
Journal_Title :
Biomedical Circuits and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1932-4545
Type :
jour
DOI :
10.1109/TBCAS.2014.2384017
Filename :
7005498
Link To Document :
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