Complex study on compression of ECG signals using novel single-cycle fractal-based algorithm and SPIHT

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU137343" target="_blank" >RIV/00216305:26220/20:PU137343 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14110/20:00116568

Result on the web

<a href="https://www.nature.com/articles/s41598-020-72656-6" target="_blank" >https://www.nature.com/articles/s41598-020-72656-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-020-72656-6" target="_blank" >10.1038/s41598-020-72656-6</a>

Result language

angličtina

Original language name

Complex study on compression of ECG signals using novel single-cycle fractal-based algorithm and SPIHT

Original language description

Compression of ECG signal is essential especially in the area of signal transmission in telemedicine. There exist many compression algorithms which are described in various details, tested on various datasets and their performance is expressed by different ways. There is a lack of standardization in this area. This study points out these drawbacks and presents new compression algorithm which is properly described, tested and objectively compared with other authors. This study serves as an example how the standardization should look like. Single-cycle fractal-based (SCyF) compression algorithm is introduced and tested on 4 different databases-CSE database, MIT-BIH arrhythmia database, High-frequency signal and Brno University of Technology ECG quality database (BUT QDB). SCyF algorithm is always compared with well-known algorithm based on wavelet transform and set partitioning in hierarchical trees in terms of efficiency (2 methods) and quality/distortion of the signal after compression (12 methods). Detail analysis of the results is provided. The results of SCyF compression algorithm reach up to avL=0.4460 bps and PRDN=2.8236%.

Czech name

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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

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

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

10

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

15

Pages from-to

1-15

UT code for WoS article

000577252400032

EID of the result in the Scopus database

2-s2.0-85091595268