Wavelet Transform in Electrocardiology - Data Compression

Kód výsledku v 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>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Wavelet Transform in Electrocardiology - Data Compression

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Wavelet Transform in Electrocardiology - Data Compression

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

1997

Kód důvěrnosti údajů

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

Název periodika

Int. Journal of Medical Informatics, ELSEVIER

ISSN

1386-5056

e-ISSN

—

Svazek periodika

45

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

16

Strana od-do

111-126

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—