{"title":"心音图的小波分析:正常与异常心音的差异","authors":"F. Jandre, M.N. Souza","doi":"10.1109/IEMBS.1997.757032","DOIUrl":null,"url":null,"abstract":"Phonocardiography-based diagnosis can be improved by modern techniques of signal processing. This work investigates the analysis of phonocardiograms using the time-frequency distribution generated by the cochlear wavelet transform. We show here a comparative study of normal and abnormal heart sounds, whose scalograms exhibit noticeable morphological differences in terms of duration and spectral composition of sounds. These differences suggest that the cochlear-wavelet-based scalogram can become an interesting approach to design automatic diagnosis systems.","PeriodicalId":342750,"journal":{"name":"Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Wavelet analysis of phonocardiograms: differences between normal and abnormal heart sounds\",\"authors\":\"F. Jandre, M.N. Souza\",\"doi\":\"10.1109/IEMBS.1997.757032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Phonocardiography-based diagnosis can be improved by modern techniques of signal processing. This work investigates the analysis of phonocardiograms using the time-frequency distribution generated by the cochlear wavelet transform. We show here a comparative study of normal and abnormal heart sounds, whose scalograms exhibit noticeable morphological differences in terms of duration and spectral composition of sounds. These differences suggest that the cochlear-wavelet-based scalogram can become an interesting approach to design automatic diagnosis systems.\",\"PeriodicalId\":342750,\"journal\":{\"name\":\"Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.1997.757032\",\"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 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.1997.757032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wavelet analysis of phonocardiograms: differences between normal and abnormal heart sounds
Phonocardiography-based diagnosis can be improved by modern techniques of signal processing. This work investigates the analysis of phonocardiograms using the time-frequency distribution generated by the cochlear wavelet transform. We show here a comparative study of normal and abnormal heart sounds, whose scalograms exhibit noticeable morphological differences in terms of duration and spectral composition of sounds. These differences suggest that the cochlear-wavelet-based scalogram can become an interesting approach to design automatic diagnosis systems.
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