ECG Data Compression by Multiscale Peak Analysis - Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

This paper presents an ECG data compression technique by the multiscale peak analysis. We define the multiscale peak analysis as the wavelet maxima representation of which the basic wavelet as the second derivative ofa symmetric smoothing function. The wavelet transform of an ECG shows maxima at the start, peak and stop points of five transient waves P through T. The number of wavelet maxima is expected to be less than the number of original data samples. The wavelet maxima can be enough to reconstruct original signals precisely. The wavelet maxima representation can hence lead to the ECG data compression and analysis. The compressed data still keep the peaks of QRS waves, abnormal behavior search will be feasible in practice. The result of the compression shows that a normal ECG data is compressed by a factor 10.