Detail publikace

Pathologies affect the performance of ECG signals compression

NĚMCOVÁ, A. SMÍŠEK, R. VÍTEK, M. NOVÁKOVÁ, M.

Originální název

Pathologies affect the performance of ECG signals compression

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

annotations; compression; ECG; electrocardiogram; fractal-based compression; morphology; pathology; rhythm; SPIHT; wavelet transform

Autoři

NĚMCOVÁ, A.; SMÍŠEK, R.; VÍTEK, M.; NOVÁKOVÁ, M.

Vydáno

18. 5. 2021

Nakladatel

Springer Nature

Místo

BERLIN

ISSN

2045-2322

Periodikum

Scientific Reports

Ročník

11

Číslo

1

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

9

Strany počet

9

URL

https://www.nature.com/articles/s41598-021-89817-w

Plný text v Digitální knihovně

http://hdl.handle.net/11012/200967

BibTex

@article{BUT171960,
  author="Andrea {Němcová} and Radovan {Smíšek} and Martin {Vítek} and Marie {Nováková}",
  title="Pathologies affect the performance of ECG signals compression",
  journal="Scientific Reports",
  year="2021",
  volume="11",
  number="1",
  pages="1--9",
  doi="10.1038/s41598-021-89817-w",
  issn="2045-2322",
  url="https://www.nature.com/articles/s41598-021-89817-w"
}