Lossless Compression Technique For ECG Signals Using A-law Companding Algorithm

Mustapha El Hanine, Hicham Ouldzira, A. Boudaoud, El H. Abdelmounim
{"title":"Lossless Compression Technique For ECG Signals Using A-law Companding Algorithm","authors":"Mustapha El Hanine, Hicham Ouldzira, A. Boudaoud, El H. Abdelmounim","doi":"10.1109/IRASET57153.2023.10152876","DOIUrl":null,"url":null,"abstract":"In this work, we present a lossless compression technique based on the use of the A-law companding algorithm, associated with the inter-leads correlation to compress ECG signals by reducing the dynamic range and number of encoded signals. Experiments are conducted on the selected records from the PTB Arrhythmia Database, and the performance is evaluated using the compression ratio (CR) and the percent root mean square difference (PRD). the results show that this technique efficiently retains pathological informations, whether for patients in normal condition or with arrhythmias, a total compression ratio CR of 4.92 is achieved with a PRD of 0 %.","PeriodicalId":228989,"journal":{"name":"2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRASET57153.2023.10152876","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this work, we present a lossless compression technique based on the use of the A-law companding algorithm, associated with the inter-leads correlation to compress ECG signals by reducing the dynamic range and number of encoded signals. Experiments are conducted on the selected records from the PTB Arrhythmia Database, and the performance is evaluated using the compression ratio (CR) and the percent root mean square difference (PRD). the results show that this technique efficiently retains pathological informations, whether for patients in normal condition or with arrhythmias, a total compression ratio CR of 4.92 is achieved with a PRD of 0 %.
基于a律压缩算法的心电信号无损压缩技术
在这项工作中,我们提出了一种基于a律压缩算法的无损压缩技术,通过减少编码信号的动态范围和数量,结合导联间相关来压缩心电信号。从PTB心律失常数据库中选择记录进行实验,并使用压缩比(CR)和百分均方根差(PRD)对性能进行评价。结果表明,该技术有效地保留了病理信息,无论对正常或心律失常患者,总压缩比CR为4.92,PRD为0%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书