title: A 259.6 μW HRV-EEG Processor With Nonlinear Chaotic Analysis During Mental Tasks.
abstract: A system-on-chip (SoC) with nonlinear chaotic analysis (NCA) is presented for mental task monitoring. The proposed processor treats both heart rate variability (HRV) and electroencephalography (EEG). An independent component analysis (ICA) accelerator decreases the error of HRV extraction from 5.94% to 1.84% in the preprocessing step. Largest Lyapunov exponents (LLE), as well as linear features such as mean and standard variation and sub-band power, are calculated with NCA acceleration. Measurements with mental task protocols result in confidence level of 95%. Thanks to the hardware acceleration, the chaos-processor fabricated in 0.13 μm CMOS technology consumes only 259.6 μW.
authors.forename: Taehwan
authors.initials: T
authors.lastname: Roh
authors.forename: Sunjoo
authors.initials: S
authors.lastname: Hong
authors.forename: Hyunwoo
authors.initials: H
authors.lastname: Cho
authors.forename: Hoi-Jun
authors.initials: HJ
authors.lastname: Yoo
mesh_terms: D000054:Acceleration; D000465:Algorithms; D004562:Electrocardiography / Q000295:instrumentation*; D004569:Electroencephalography / Q000295:instrumentation*; D005260:Female; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation