替代Haar小波滤波器的r峰检测

Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795) Pub Date : 2003-12-14 DOI:10.1109/ISSPIT.2003.1341099

A. Alexandridi, I. Panagopoulos, G. Manis, G. Papakonstantinou

{"title":"替代Haar小波滤波器的r峰检测","authors":"A. Alexandridi, I. Panagopoulos, G. Manis, G. Papakonstantinou","doi":"10.1109/ISSPIT.2003.1341099","DOIUrl":null,"url":null,"abstract":"This work presents a new filtering method for the Pan-Tompkins algorithm. The Haar wavelet is substituted for the bandpass filter commonly used in the algorithm and is applied to sample the data from two popular databases. We found that the application of the Haar wavelet as a filtering step produces a much clearer signal after the integration phase of the Pan-Tompkins algorithm and that peak detection is comparable to that of the bandpass approach. The benefits of using the Haar wavelet includes simpler computations and its hardware implementation is cheaper than that of the bandpass filter since there is no multiplication necessary.","PeriodicalId":332887,"journal":{"name":"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"R-peak detection with alternative Haar wavelet filter\",\"authors\":\"A. Alexandridi, I. Panagopoulos, G. Manis, G. Papakonstantinou\",\"doi\":\"10.1109/ISSPIT.2003.1341099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents a new filtering method for the Pan-Tompkins algorithm. The Haar wavelet is substituted for the bandpass filter commonly used in the algorithm and is applied to sample the data from two popular databases. We found that the application of the Haar wavelet as a filtering step produces a much clearer signal after the integration phase of the Pan-Tompkins algorithm and that peak detection is comparable to that of the bandpass approach. The benefits of using the Haar wavelet includes simpler computations and its hardware implementation is cheaper than that of the bandpass filter since there is no multiplication necessary.\",\"PeriodicalId\":332887,\"journal\":{\"name\":\"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPIT.2003.1341099\",\"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 the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2003.1341099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 7

摘要

本文提出了一种新的Pan-Tompkins算法滤波方法。Haar小波取代了算法中常用的带通滤波器，并应用于两个常用数据库的数据采样。我们发现，在Pan-Tompkins算法的积分阶段之后，应用Haar小波作为滤波步骤会产生更清晰的信号，并且峰值检测可与带通方法相媲美。使用Haar小波的好处包括更简单的计算和它的硬件实现比带通滤波器便宜，因为不需要乘法。

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

R-peak detection with alternative Haar wavelet filter

This work presents a new filtering method for the Pan-Tompkins algorithm. The Haar wavelet is substituted for the bandpass filter commonly used in the algorithm and is applied to sample the data from two popular databases. We found that the application of the Haar wavelet as a filtering step produces a much clearer signal after the integration phase of the Pan-Tompkins algorithm and that peak detection is comparable to that of the bandpass approach. The benefits of using the Haar wavelet includes simpler computations and its hardware implementation is cheaper than that of the bandpass filter since there is no multiplication necessary.

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 the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)

自引率

0.00%

发文量