{"title":"利用小波变换的极大值交叉点和过零点相结合的QRS复合体检测方法","authors":"Yanli Zheng, G. Hu","doi":"10.1109/IEMBS.1998.745861","DOIUrl":null,"url":null,"abstract":"The proposed algorithm uses the wavelet transform (WT) to detect the QRS complex of an electrocardiogram (ECG). Compared to other algorithms, which only use WT zero-crossing points, this algorithm detects the ECG characteristic points by a combination of the maxima and the zero-crossings of the WT. This algorithm can easily distinguish the QRS complex by comparison with prior work. The detection method and results are presented.","PeriodicalId":156581,"journal":{"name":"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"QRS complex detection by the combination of maxima and zero-crossing points of wavelet transform\",\"authors\":\"Yanli Zheng, G. Hu\",\"doi\":\"10.1109/IEMBS.1998.745861\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proposed algorithm uses the wavelet transform (WT) to detect the QRS complex of an electrocardiogram (ECG). Compared to other algorithms, which only use WT zero-crossing points, this algorithm detects the ECG characteristic points by a combination of the maxima and the zero-crossings of the WT. This algorithm can easily distinguish the QRS complex by comparison with prior work. The detection method and results are presented.\",\"PeriodicalId\":156581,\"journal\":{\"name\":\"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.1998.745861\",\"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 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.1998.745861","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
QRS complex detection by the combination of maxima and zero-crossing points of wavelet transform
The proposed algorithm uses the wavelet transform (WT) to detect the QRS complex of an electrocardiogram (ECG). Compared to other algorithms, which only use WT zero-crossing points, this algorithm detects the ECG characteristic points by a combination of the maxima and the zero-crossings of the WT. This algorithm can easily distinguish the QRS complex by comparison with prior work. The detection method and results are presented.
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