Pathologies affect the performance of ECG signals compression

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU141148" target="_blank" >RIV/00216305:26220/21:PU141148 - isvavai.cz</a>

Alternative codes found

RIV/68081731:_____/21:00543471 RIV/00159816:_____/21:00075214 RIV/00216224:14110/21:00121618

Result on the web

<a href="https://www.nature.com/articles/s41598-021-89817-w" target="_blank" >https://www.nature.com/articles/s41598-021-89817-w</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-021-89817-w" target="_blank" >10.1038/s41598-021-89817-w</a>

Result language

angličtina

Original language name

Pathologies affect the performance of ECG signals compression

Original language description

The performance of ECG signals compression is influenced by many things. However, there is not a single study primarily focused on the possible effects of ECG pathologies on the performance of compression algorithms. This study evaluates whether the pathologies present in ECG signals affect the efficiency and quality of compression. Single-cycle fractal-based compression algorithm and compression algorithm based on combination of wavelet transform and set partitioning in hierarchical trees are used to compress 125 15-leads ECG signals from CSE database. Rhythm and morphology of these signals are newly annotated as physiological or pathological. The compression performance results are statistically evaluated. Using both compression algorithms, physiological signals are compressed with better quality than pathological signals according to 8 and 9 out of 12 quality metrics, respectively. Moreover, it was statistically proven that pathological signals were compressed with lower efficiency than physiological signals. Signals with physiological rhythm and physiological morphology were compressed with the best quality. The worst results reported the group of signals with pathological rhythm and pathological morphology. This study is the first one which deals with effects of ECG pathologies on the performance of compression algorithms. Signal-by-signal rhythm and morphology annotations (physiological/pathological) for the CSE database are newly published.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10700 - Other natural sciences

Project

<a href="/en/project/LQ1605" target="_blank" >LQ1605: Translational Medicine</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

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

Name of the periodical

Scientific Reports

ISSN

2045-2322

e-ISSN

—

Volume of the periodical

11

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

9

Pages from-to

1-9

UT code for WoS article

000658858700010

EID of the result in the Scopus database

2-s2.0-85106167508