Wavelet Transform in Electrocardiology - Data Compression

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F97%3APU20111" target="_blank" >RIV/00216305:26220/97:PU20111 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Wavelet Transform in Electrocardiology - Data Compression

Original language description

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, nonstationary character of ECG data is considered. Some of the time-frequency signal components are removed because of their low influence to signal characteristtics. Resulted 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 averagecode length about 1 bit.sample-1. 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.

Czech name

Wavelet Transform in Electrocardiology - Data Compression

Czech description

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, nonstationary character of ECG data is considered. Some of the time-frequency signal components are removed because of their low influence to signal characteristtics. Resulted 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 averagecode length about 1 bit.sample-1. 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.

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

1997

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Int. Journal of Medical Informatics, ELSEVIER

ISSN

1386-5056

e-ISSN

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Volume of the periodical

45

Issue of the periodical within the volume

8

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

16

Pages from-to

111-126

UT code for WoS article

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EID of the result in the Scopus database

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