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Pathologies affect the performance of ECG signals compression

The result's identifiers

  • 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>

Alternative languages

  • 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

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10700 - Other natural sciences

Result continuities

  • Project

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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • 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