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The extraction and identification of ECG (electrocardiogram) signal characteristic parameters are the basis of ECG analysis and diagnosis. The fast and precise detection of QRS complexes is very important in ECG signal analysis, for it is the precondition of the correlative parameters calculation and diagnosis. In this paper, the modulus maxima of wavelet transform was applied to the QRS complexes detection of ECG signal firstly. Once misdetections or fail-detections happen, we used the Golden Section Search to adjust the thresholds of maxima determination. The correct detection rate of the QRS complexes is up to 99.6% based on MIT-BIH ECG data.

Detection of QRS Complexes Using Wavelet Transforms and Golden Section Search