Publication result detail

Wavelet-based Compression of ECG Signals

PROVAZNÍK, I.; KOZUMPLÍK, J.

Original Title

Wavelet-based Compression of ECG Signals

English Title

Wavelet-based Compression of ECG Signals

Type

Paper in proceedings (conference paper)

Original Abstract

An example of application of the wavelet transform to electrocardiography is described in the paper. The transform is exploited as a first stage of an ECG signal compression algorithm. The signal is decomposed into particular time-frequency components. Some of the components are removed because of their low influence to signal shape due to nonstationary character of ECG. Resulted components are quantized, composed into one block and compressed by a classical entropic Huffman coder. The wavelet transform with the threshold detector, the quantizer, and the Huffman coder can compress data with average compression ratio CR=9.2 and percentual root mean square difference PRD=3.0%. The lossy compression algorithm was tested on CSE library of rest ECG signals.

English abstract

An example of application of the wavelet transform to electrocardiography is described in the paper. The transform is exploited as a first stage of an ECG signal compression algorithm. The signal is decomposed into particular time-frequency components. Some of the components are removed because of their low influence to signal shape due to nonstationary character of ECG. Resulted components are quantized, composed into one block and compressed by a classical entropic Huffman coder. The wavelet transform with the threshold detector, the quantizer, and the Huffman coder can compress data with average compression ratio CR=9.2 and percentual root mean square difference PRD=3.0%. The lossy compression algorithm was tested on CSE library of rest ECG signals.

Keywords

Wavelet transform, electrocardiography, compression, entropic Huffman coder

Key words in English

Wavelet transform, electrocardiography, compression, entropic Huffman coder

Authors

PROVAZNÍK, I.; KOZUMPLÍK, J.

Released

01.01.1996

Publisher

IEEE

Location

Amsterdam

Book

Proceedings of the 18th Annual International Conference of the IEEE EMBS

Pages from

1210

Pages count

2

BibTex

@inproceedings{BUT11301,
  author="Valentýna {Provazník} and Jiří {Kozumplík}",
  title="Wavelet-based Compression of ECG Signals",
  booktitle="Proceedings of the 18th Annual International Conference of the IEEE EMBS",
  year="1996",
  pages="2",
  publisher="IEEE",
  address="Amsterdam"
}