Abstract:

While the wavelet transform is used to detect QRS complexes, the most critical part is the match of mould extreme value. We present a regional exetrem value matching algorithm to detect R waves. The wavelet transform is realized by means of the quadratic spline wavelet basis function and the Atrous algorithm, and then the mould extreme values of ECG signals are calculated. The search area is defined by the positive maximum. Taking the positive maximum as the starting point, the specific parts as the search space, we search for the negative maximum from the starting point to the left. The zero crossing point between the positive maximum and the negative maximum is the corresponding point of R wave. Then we detect the Q wave and S wave on the basis of the R wave detection, and the onset and offset points of QRS complexes are detected by the maximum distance method. Related medical theories are also adopted to optimize the detection results, thus removing wrong points and compensating leak points. Experiments on the MITBIH arrhythmia database verify the proposed algorithm, which can detect the QRS complexes accurately with an average detection rate of 99.97%.

Key words: ECG signal;QRS complexes;regional threshold matching;wavelet transform;MITBIH