title: A wearable neuro-feedback system with EEG-based mental status monitoring and transcranial electrical stimulation.
abstract: A wearable neuro-feedback system is proposed with a low-power neuro-feedback SoC (NFS), which supports mental status monitoring with encephalography (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.
authors.forename: Taehwan
authors.initials: T
authors.lastname: Roh
authors.forename: Kiseok
authors.initials: K
authors.lastname: Song
authors.forename: Hyunwoo
authors.initials: H
authors.lastname: Cho
authors.forename: Dongjoo
authors.initials: D
authors.lastname: Shin
authors.forename: Hoi-Jun
authors.initials: HJ
authors.lastname: Yoo
mesh_terms: D004569:Electroencephalography / Q000295:instrumentation / Q000379:methods; D006801:Humans; D008297:Male; D064926:Neurophysiological Monitoring / Q000295:instrumentation / Q000379:methods; D058998:Remote Sensing Technology / Q000295:instrumentation / Q000379:methods; D065908:Transcranial Direct Current Stimulation / Q000295:instrumentation / Q000379:methods