Wavelet transform in electrocardiography--data compression.

I Provazník; J Kozumplík

doi:10.1016/s1386-5056(97)00040-3

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Wavelet transform in electrocardiography--data compression.

I Provazník·J Kozumplík

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Abstract

An application of the wavelet transform to electrocardiography is described in the paper. The transform is used as a first stage of a lossy compression algorithm for efficient coding of rest ECG signals. The proposed technique is based on the decomposition of the ECG signal into a set of basic functions covering the time-frequency domain. Thus, non-stationary character of ECG data is considered. Some of the time-frequency signal components are removed because of their low influence to signal characteristics. Resulting components are efficiently coded by quantization, composition into a sequence of coefficients and compression by a run-length coder and a entropic Huffman coder. The proposed wavelet-based compression algorithm can compress data to average code length about 1 bit/sample. The algorithm can be also implemented to a real-time processing system when wavelet transform is computed by fast linear filters described in the paper.

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Acoustics Algorithms Electrocardiography Fourier Analysis Humans Pattern Recognition, Automated Rest Signal Processing, Computer-Assisted Telecommunications Telephone Time Factors Journal Article Research Support, Non-U.S. Gov't

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I Provazník, J Kozumplík. 1997. Wavelet transform in electrocardiography--data compression.. https://doi.org/10.1016/s1386-5056(97)00040-3

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