Browsing by Author "Chang, Po-Yao"

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A 4.88 mu W ECG Delineator Using Wavelet Transform for Mobile Healthcare Application
(2012)
Chang, Po-Yao
;
Hsu, Shu-Yu
;
Lee, Chen-Yi
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電子工程學系及電子研究所
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Department of Electronics Engineering and Institute of Electronics
This work presents a low power ECG delineator based on the dyadic wavelet transform. The delineator detects the five most significant ECG fiducial points (P, QRS(on), R, QRS(end), and T waves) for the advanced signal analysis. The detection result is evaluated on two annotated databases including MIT-BIH arrhythmia database and QT database. The obtained sensitivity and positive predictivity are over 99.4% and 96.1% for the five ECG features, respectively. Implemented using UMC 90nm technology with 0.5V supply voltage scaling, duty-cycled operation and power gating technique, the average power dissipation of the delineator is 4.88 mu W for real-time ECG monitoring.
A 48.6-to-105.2 mu W Machine Learning Assisted Cardiac Sensor SoC for Mobile Healthcare Applications
(2014-04-01)
Hsu, Shu-Yu
;
Ho, Yingchieh
;
Chang, Po-Yao
;
Su, Chauchin
;
Lee, Chen-Yi
A machine- learning ( ML) assisted cardiac sensor SoC ( CS- SoC) is designed for mobile healthcare applications. The heterogeneous architecture realizes the cardiac signal acquisition, filtering with versatile feature extractions and classifications, and enables the higher order analysis over traditional DSPs. Besides, the asynchronous architecture with dynamic standby controller further suppresses the system active duty and the leakage power dissipation. The proposed chip is fabricated in a 90- nm standard CMOS technology and operates at 0.5 V- 1.0 V ( 0.7 V- 1.0 V for SRAM and I/ O interface). Examined with healthcare monitoring applications, the CS- SoC dissipates 48.6/ 105.2 mu W for real- time syndrome detections of ECG- based arrhythmia/ VCG- based myocardial infarction with 95.8/ 99% detection accuracy, respectively.