{"title":"基于EMD和仿生小波变换的r波检测","authors":"B. Khiari, Ezzedine Ben Braiek, M. Jemni","doi":"10.1109/ICEESA.2013.6578435","DOIUrl":null,"url":null,"abstract":"The most striking waveform in an electrocardiogram (ECG) is the QRS complex. The detection of the R wave is the first step in any automatic analysis of the ECG. In this paper, we propose a new method based on a preprocessing of ECG signal in order to restore and enhance it properly. For this purpose, we use the intrinsic components issues from the empirical modal decomposition. To emphasize and extract R waves, we proceed to a decomposition of ECG signal by bionic wavelet transform. Finally thresholding time/amplitude is applied to determine the position of the R-wave. The algorithm tests have been carried out on the signals QT database.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"155 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"R-wave detection using EMD and bionic wavelet transform\",\"authors\":\"B. Khiari, Ezzedine Ben Braiek, M. Jemni\",\"doi\":\"10.1109/ICEESA.2013.6578435\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The most striking waveform in an electrocardiogram (ECG) is the QRS complex. The detection of the R wave is the first step in any automatic analysis of the ECG. In this paper, we propose a new method based on a preprocessing of ECG signal in order to restore and enhance it properly. For this purpose, we use the intrinsic components issues from the empirical modal decomposition. To emphasize and extract R waves, we proceed to a decomposition of ECG signal by bionic wavelet transform. Finally thresholding time/amplitude is applied to determine the position of the R-wave. The algorithm tests have been carried out on the signals QT database.\",\"PeriodicalId\":212631,\"journal\":{\"name\":\"2013 International Conference on Electrical Engineering and Software Applications\",\"volume\":\"155 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Electrical Engineering and Software Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEESA.2013.6578435\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Electrical Engineering and Software Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEESA.2013.6578435","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
R-wave detection using EMD and bionic wavelet transform
The most striking waveform in an electrocardiogram (ECG) is the QRS complex. The detection of the R wave is the first step in any automatic analysis of the ECG. In this paper, we propose a new method based on a preprocessing of ECG signal in order to restore and enhance it properly. For this purpose, we use the intrinsic components issues from the empirical modal decomposition. To emphasize and extract R waves, we proceed to a decomposition of ECG signal by bionic wavelet transform. Finally thresholding time/amplitude is applied to determine the position of the R-wave. The algorithm tests have been carried out on the signals QT database.