A Wearable Neuro-Feedback System With EEG-Based Mental Status Monitoring and Transcranial Electrical Stimulation

Taehwan Roh,Kiseok Song,Hyunwoo Cho,Dongjoo Shin,Hoi-Jun Yoo

IEEE Transactions on Biomedical Circuits and Systems（2015）

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摘要

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.

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关键词

online source classification,current 2 mA,neuro-feedback SoC,encephalography,noninvasive neuro-modulation,CMOS integrated circuits,neurophysiology,ICA accelerator,transcranial magnetic stimulation,transcranial electrical stimulation,electroencephalography,size 130 nm,EEG-based mental status monitoring,medical signal processing,hardwired accelerating function,SVM,tES,independent component analysis,source separation,CMOS technology,feedback,wearable neuro-feedback system,power 4.45 mW,support vector machine,NFS,brain computer interface,support vector machines,wearable healthcare,Blind source separation

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