Title :
A 4.88µW ECG delineator using wavelet transform for mobile healthcare application
Author :
Po-Yao Chang ; Shu-Yu Hsu ; Chen-Yi Lee
Author_Institution :
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
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, QRSon, R, QRSend, 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 4.88μW for real-time ECG monitoring.
Keywords :
database management systems; electrocardiography; health care; medical signal detection; mobile computing; wavelet transforms; ECG delineator; ECG fiducial points; MIT-BIH arrhythmia database; QT database; UMC technology; annotated databases; duty-cycled operation; dyadic wavelet transform; mobile healthcare application; power 4.88 muW; power dissipation; power gating technique; real-time ECG monitoring; signal analysis; size 90 nm; voltage 0.5 V; voltage scaling; Databases; Electrocardiography; Feature extraction; Hardware; Image edge detection; Kernel; Wavelet transforms;
Conference_Titel :
Biomedical Circuits and Systems Conference (BioCAS), 2012 IEEE
Conference_Location :
Hsinchu
Print_ISBN :
978-1-4673-2291-1
Electronic_ISBN :
978-1-4673-2292-8
DOI :
10.1109/BioCAS.2012.6418418
