A 4.88µW ECG delineator using wavelet transform for mobile healthcare application

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 4.88μW for real-time ECG monitoring.