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

J 2020

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

NĚMCOVÁ, Andrea, Martin VÍTEK and Marie NOVÁKOVÁ

Basic information

Original name

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

Authors

NĚMCOVÁ, Andrea (203 Czech Republic, guarantor), Martin VÍTEK (203 Czech Republic) and Marie NOVÁKOVÁ (203 Czech Republic, belonging to the institution)

Edition

Scientific Reports, London, Nature Publishing Group, 2020, 2045-2322

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30105 Physiology

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 4.379

RIV identification code

RIV/00216224:14110/20:00116568

Organization unit

Faculty of Medicine

DOI

http://dx.doi.org/10.1038/s41598-020-72656-6

UT WoS

000577252400032

Keywords in English

ECG signals; single-cycle fractal-based algorithm; SPIHT

Abstract

V originále

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%.

Citovat

NĚMCOVÁ, Andrea, Martin VÍTEK and Marie NOVÁKOVÁ. Complex study on compression of ECG signals using novel single-cycle fractal-based algorithm and SPIHT. Scientific Reports. London: Nature Publishing Group, 2020, vol. 10, No 1, p. 1-15. ISSN 2045-2322. Available from: https://dx.doi.org/10.1038/s41598-020-72656-6.

@article{1682976,
   author = {Němcová, Andrea and Vítek, Martin and Nováková, Marie},
   article_location = {London},
   article_number = {1},
   doi = {http://dx.doi.org/10.1038/s41598-020-72656-6},
   keywords = {ECG signals; single-cycle fractal-based algorithm; SPIHT},
   language = {eng},
   issn = {2045-2322},
   journal = {Scientific Reports},
   title = {Complex study on compression of ECG signals using novel single-cycle fractal-based algorithm and SPIHT},
   url = {https://www.nature.com/articles/s41598-020-72656-6},
   volume = {10},
   year = {2020}
}

TY  - JOUR
ID  - 1682976
AU  - Němcová, Andrea - Vítek, Martin - Nováková, Marie
PY  - 2020
TI  - Complex study on compression of ECG signals using novel single-cycle fractal-based algorithm and SPIHT
JF  - Scientific Reports
VL  - 10
IS  - 1
SP  - 1-15
EP  - 1-15
PB  - Nature Publishing Group
SN  - 20452322
KW  - ECG signals
KW  - single-cycle fractal-based algorithm
KW  - SPIHT
UR  - https://www.nature.com/articles/s41598-020-72656-6
L2  - https://www.nature.com/articles/s41598-020-72656-6
N2  - 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%.
ER  -

NĚMCOVÁ, Andrea, Martin VÍTEK and Marie NOVÁKOVÁ. Complex study on compression of ECG signals using novel single-cycle fractal-based algorithm and SPIHT. \textit{Scientific Reports}. London: Nature Publishing Group, 2020, vol.~10, No~1, p.~1-15. ISSN~2045-2322. Available from: https://dx.doi.org/10.1038/s41598-020-72656-6.

Detailed Information on Publication Record