Peak detection of ECG signal using wavelet transform and radial basis functions

ECG signals are often used in detecting human heart rate and heart diseases. ECG signals may sometimes have time-varying biases and noises caused by the unpredictable sudden movements. In this paper, we propose an algorithm to adaptively measure the peak values of infant's heart rate, using wavelet transform and radial basis functions.