Morphologically Robust Discrete Cosine Transform based Lossless ECG Compression with Access Control Quality

Neetika Soni, I. Saini, Butta Singh
{"title":"Morphologically Robust Discrete Cosine Transform based Lossless ECG Compression with Access Control Quality","authors":"Neetika Soni, I. Saini, Butta Singh","doi":"10.1109/ICSCCC.2018.8703306","DOIUrl":null,"url":null,"abstract":"In the era of e-healthcare paradigm, the demand of storage memory has increased manifolds. In order to combat with the bourgeoning memory and bandwidth requirements, compression techniques are employed. In this paper, Discrete Cosine Transform based lossless ECG compression approach is proposed. The method exploits only the non-QRS regions of ECG signal for compression and hence avoids any distortion in its clinically significant features. Moreover, in this approach the chaotically selected DCT coefficients are employed for compression. Therefore at receiver, only the users having the correct key can decompress the signal. The proposed method is applied on all 48 records of MIT-BIH arrhythmia database of 2 mins duration with different compression rates and evaluated the performance in terms of PRD and CR. The comparison is made with the state of the art techniques in terms of quality score and found that the proposed method yields excellent results.","PeriodicalId":148491,"journal":{"name":"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCCC.2018.8703306","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In the era of e-healthcare paradigm, the demand of storage memory has increased manifolds. In order to combat with the bourgeoning memory and bandwidth requirements, compression techniques are employed. In this paper, Discrete Cosine Transform based lossless ECG compression approach is proposed. The method exploits only the non-QRS regions of ECG signal for compression and hence avoids any distortion in its clinically significant features. Moreover, in this approach the chaotically selected DCT coefficients are employed for compression. Therefore at receiver, only the users having the correct key can decompress the signal. The proposed method is applied on all 48 records of MIT-BIH arrhythmia database of 2 mins duration with different compression rates and evaluated the performance in terms of PRD and CR. The comparison is made with the state of the art techniques in terms of quality score and found that the proposed method yields excellent results.
基于形态学鲁棒离散余弦变换的访问控制质量无损心电压缩
在电子医疗范式时代,存储存储器的需求成倍增加。为了应对不断增长的内存和带宽需求,采用了压缩技术。提出了一种基于离散余弦变换的心电无损压缩方法。该方法仅利用心电信号的非qrs区域进行压缩,从而避免了其临床重要特征的任何失真。此外,该方法采用混沌选择的离散余弦变换系数进行压缩。因此,在接收端,只有拥有正确密钥的用户才能解压缩信号。将所提出的方法应用于MIT-BIH心律失常数据库中48条不同压缩率的2分钟记录,并对PRD和CR进行了评价,并与目前最先进的技术在质量评分方面进行了比较,发现所提出的方法取得了很好的效果。
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:481959085
Book学术官方微信