Publication detail

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

NĚMCOVÁ, A. VÍTEK, M. NOVÁKOVÁ, M.

Original Title

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

English Title

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

Type

journal article in Web of Science

Language

en

Original Abstract

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%.

English abstract

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%.

Keywords

compression; ECG; electrocardiogram; CSE database; MIT-BIH arrhythmia database; SPIHT; fractals

Released

25.09.2020

Publisher

Springer Nature

Location

BERLIN

ISBN

2045-2322

Periodical

Scientific Reports

Year of study

10

Number

1

State

GB

Pages from

1

Pages to

15

Pages count

15

URL

Full text in the Digital Library

Documents

BibTex


@article{BUT165412,
  author="Andrea {Němcová} and Martin {Vítek} and Marie {Nováková}",
  title="Complex study on compression of ECG signals using novel single-cycle fractal-based algorithm and SPIHT",
  annote="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%.",
  address="Springer Nature",
  chapter="165412",
  doi="10.1038/s41598-020-72656-6",
  howpublished="online",
  institution="Springer Nature",
  number="1",
  volume="10",
  year="2020",
  month="september",
  pages="1--15",
  publisher="Springer Nature",
  type="journal article in Web of Science"
}