A. Gavrovska, M. Slavkovic, M. Paskas, D. Dujković, I. Reljin
{"title":"心音图联合时频分析","authors":"A. Gavrovska, M. Slavkovic, M. Paskas, D. Dujković, I. Reljin","doi":"10.1109/NEUREL.2012.6420002","DOIUrl":null,"url":null,"abstract":"Joint time-frequency representations of phonocardiograms enable fundamental characteristics of heart sounds and other physiological changes important for diagnostics to be more visible compared to time and frequency domain, separately. This paper discuss possibilities for relevant component extraction in such representations. Due to improved visual inspection and fast digital signal processing capabilities, a number of additional tools may be provided for the purpose of computer-aided auscultation, physiological monitoring systems and computer-aided cardiological diagnostic systems.","PeriodicalId":343718,"journal":{"name":"11th Symposium on Neural Network Applications in Electrical Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Joint time-frequency analysis of phonocardiograms\",\"authors\":\"A. Gavrovska, M. Slavkovic, M. Paskas, D. Dujković, I. Reljin\",\"doi\":\"10.1109/NEUREL.2012.6420002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Joint time-frequency representations of phonocardiograms enable fundamental characteristics of heart sounds and other physiological changes important for diagnostics to be more visible compared to time and frequency domain, separately. This paper discuss possibilities for relevant component extraction in such representations. Due to improved visual inspection and fast digital signal processing capabilities, a number of additional tools may be provided for the purpose of computer-aided auscultation, physiological monitoring systems and computer-aided cardiological diagnostic systems.\",\"PeriodicalId\":343718,\"journal\":{\"name\":\"11th Symposium on Neural Network Applications in Electrical Engineering\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"11th Symposium on Neural Network Applications in Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEUREL.2012.6420002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"11th Symposium on Neural Network Applications in Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEUREL.2012.6420002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Joint time-frequency representations of phonocardiograms enable fundamental characteristics of heart sounds and other physiological changes important for diagnostics to be more visible compared to time and frequency domain, separately. This paper discuss possibilities for relevant component extraction in such representations. Due to improved visual inspection and fast digital signal processing capabilities, a number of additional tools may be provided for the purpose of computer-aided auscultation, physiological monitoring systems and computer-aided cardiological diagnostic systems.
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