基于小波和分形插值的心电数据压缩

Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 1996-10-31 DOI:10.1109/IEMBS.1996.647468

W. Lee, Y. Yoon

{"title":"基于小波和分形插值的心电数据压缩","authors":"W. Lee, Y. Yoon","doi":"10.1109/IEMBS.1996.647468","DOIUrl":null,"url":null,"abstract":"This paper represents the data compression for ECG signals using the wavelet and adaptive fractal interpolation method. The method represents any range of ECG signal by fractal interpolation parameters after wavelet transform. The suggested algorithm was evaluate using MIT/BIH database. A high compression ratio (CR) is achieved with a relatively low percent rms difference (PRD).","PeriodicalId":20427,"journal":{"name":"Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1996-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"ECG data compression using wavelet and fractal interpolation\",\"authors\":\"W. Lee, Y. Yoon\",\"doi\":\"10.1109/IEMBS.1996.647468\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper represents the data compression for ECG signals using the wavelet and adaptive fractal interpolation method. The method represents any range of ECG signal by fractal interpolation parameters after wavelet transform. The suggested algorithm was evaluate using MIT/BIH database. A high compression ratio (CR) is achieved with a relatively low percent rms difference (PRD).\",\"PeriodicalId\":20427,\"journal\":{\"name\":\"Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.1996.647468\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.1996.647468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

介绍了利用小波变换和自适应分形插值方法对心电信号进行数据压缩的方法。该方法通过小波变换后的分形插值参数表示任意范围的心电信号。采用MIT/BIH数据库对算法进行评价。以相对较低的均方根差(PRD)实现高压缩比(CR)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

ECG data compression using wavelet and fractal interpolation

This paper represents the data compression for ECG signals using the wavelet and adaptive fractal interpolation method. The method represents any range of ECG signal by fractal interpolation parameters after wavelet transform. The suggested algorithm was evaluate using MIT/BIH database. A high compression ratio (CR) is achieved with a relatively low percent rms difference (PRD).

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

自引率

0.00%

发文量