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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...
A wearable depression monitoring system is proposed with an application-specific system-on-chip (SoC) solution. The SoC is designed to accelerate the filtering and feature extraction of heart-rate variability (HRV) from the electrocardiogram (ECG). Thanks to the SoC solution and planar-fashionable circuit board (P-FCB), the monitoring system becomes a low-power wearable system. Its dimension is 14cm...
Recently, there are many reports on the measurement of mental health conditions as derived from physiological parameters — see references in [1]. Usually, heart-rate or heart rate variability (HRV) has been used for monitoring mental health because of its strong dependency on the autonomic nervous system (ANS) [1–2]. Reference [1] reported that ECG, respiration, skin conductance and EMG data collected...
The Smart Patches and Wearable Band (W-Band) are proposed for comfortable sleep monitoring system which recognizes and diagnoses sleep disorders. By using Planar Fashionable Circuit Board (P-FCB) techniques, the Smart Patches are implemented with the plain fabric patch so that it can have light weight and small size. And the stretchability of the W-Band can achieve user convenience, low manufacturing...
Arm-band type textile-MP3 player using direct chip integration technique into textile named Planar Fashionable Circuit Board (P-FCB) is designed. The multi-layered board manufacturing technique improves the integration level so that more complex system can be implemented using P-FCB. Also, wearable user input-output (I/O) interface makes people control the system freely without any disturbance. Finally,...
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