Pathologies affect the performance of ECG signals compression

J 2021

Pathologies affect the performance of ECG signals compression

NEMCOVA, Andrea, Radovan SMISEK, Martin VITEK a Marie NOVÁKOVÁ

Základní údaje

Originální název

Pathologies affect the performance of ECG signals compression

Autoři

NEMCOVA, Andrea (203 Česká republika, garant), Radovan SMISEK (203 Česká republika), Martin VITEK (203 Česká republika) a Marie NOVÁKOVÁ (203 Česká republika, domácí)

Vydání

Scientific Reports, Berlin, Nature, 2021, 2045-2322

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30105 Physiology

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 4.996

Kód RIV

RIV/00216224:14110/21:00121618

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.1038/s41598-021-89817-w

UT WoS

000658858700010

Klíčová slova anglicky

Pathologies; ECG signals compression

Štítky

14110515, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 29. 6. 2021 12:01, Mgr. Tereza Miškechová

Anotace

V originále

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.

Návaznosti

MUNI/A/1246/2020, interní kód MU

Název: Kardiovaskulární systém: od iontového kanálu k celotělovému modelu (Akronym: KAVASYKAMO)

Investor: Masarykova univerzita, Kardiovaskulární systém: od iontového kanálu k celotělovému modelu

Citovat

NEMCOVA, Andrea, Radovan SMISEK, Martin VITEK a Marie NOVÁKOVÁ. Pathologies affect the performance of ECG signals compression. Scientific Reports. Berlin: Nature, 2021, roč. 11, č. 1, s. 1-9. ISSN 2045-2322. Dostupné z: https://dx.doi.org/10.1038/s41598-021-89817-w.

@article{1769979,
   author = {Nemcova, Andrea and Smisek, Radovan and Vitek, Martin and Nováková, Marie},
   article_location = {Berlin},
   article_number = {1},
   doi = {http://dx.doi.org/10.1038/s41598-021-89817-w},
   keywords = {Pathologies; ECG signals compression},
   language = {eng},
   issn = {2045-2322},
   journal = {Scientific Reports},
   title = {Pathologies affect the performance of ECG signals compression},
   url = {https://www.nature.com/articles/s41598-021-89817-w},
   volume = {11},
   year = {2021}
}

TY  - JOUR
ID  - 1769979
AU  - Nemcova, Andrea - Smisek, Radovan - Vitek, Martin - Nováková, Marie
PY  - 2021
TI  - Pathologies affect the performance of ECG signals compression
JF  - Scientific Reports
VL  - 11
IS  - 1
SP  - 1-9
EP  - 1-9
PB  - Nature
SN  - 20452322
KW  - Pathologies
KW  - ECG signals compression
UR  - https://www.nature.com/articles/s41598-021-89817-w
N2  - 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.
ER  -

NEMCOVA, Andrea, Radovan SMISEK, Martin VITEK a Marie NOVÁKOVÁ. Pathologies affect the performance of ECG signals compression. \textit{Scientific Reports}. Berlin: Nature, 2021, roč.~11, č.~1, s.~1-9. ISSN~2045-2322. Dostupné z: https://dx.doi.org/10.1038/s41598-021-89817-w.

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