• Je něco špatně v tomto záznamu ?

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

A. Nemcova, M. Vitek, M. Novakova,

. 2020 ; 10 (1) : 15801. [pub] 20200925

Jazyk angličtina Země Velká Británie

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc20027812

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%.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc20027812
003      
CZ-PrNML
005      
20210114152416.0
007      
ta
008      
210105s2020 xxk f 000 0|eng||
009      
AR
024    7_
$a 10.1038/s41598-020-72656-6 $2 doi
035    __
$a (PubMed)32978481
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxk
100    1_
$a Nemcova, Andrea $u Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technická 12, 616 00, Brno, Czech Republic. nemcovaa@feec.vutbr.cz.
245    10
$a Complex study on compression of ECG signals using novel single-cycle fractal-based algorithm and SPIHT / $c A. Nemcova, M. Vitek, M. Novakova,
520    9_
$a 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%.
650    12
$a algoritmy $7 D000465
650    _2
$a srdeční arytmie $x patofyziologie $7 D001145
650    _2
$a komprese dat $x metody $7 D044962
650    12
$a databáze faktografické $7 D016208
650    _2
$a elektrokardiografie $x metody $7 D004562
650    12
$a fraktály $7 D017709
650    _2
$a lidé $7 D006801
650    _2
$a počítačové zpracování signálu $7 D012815
650    _2
$a vlnková analýza $7 D058067
655    _2
$a časopisecké články $7 D016428
700    1_
$a Vitek, Martin $u Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technická 12, 616 00, Brno, Czech Republic.
700    1_
$a Novakova, Marie $u Department of Physiology, Faculty of Medicine, Masaryk University, Kamenice 753/5, 625 00, Brno, Czech Republic.
773    0_
$w MED00182195 $t Scientific reports $x 2045-2322 $g Roč. 10, č. 1 (2020), s. 15801
856    41
$u https://pubmed.ncbi.nlm.nih.gov/32978481 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20210105 $b ABA008
991    __
$a 20210114152414 $b ABA008
999    __
$a ok $b bmc $g 1608147 $s 1118992
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2020 $b 10 $c 1 $d 15801 $e 20200925 $i 2045-2322 $m Scientific reports $n Sci Rep $x MED00182195
LZP    __
$a Pubmed-20210105

Najít záznam

Citační ukazatele

    Možnosti archivace