S. Salleh, I. Kamarulafizam, A. I. Chowdhury, Mohd. Zin Zamri
{"title":"Signal Processing Application for Telemedicine","authors":"S. Salleh, I. Kamarulafizam, A. I. Chowdhury, Mohd. Zin Zamri","doi":"10.1109/IIH-MSP.2007.281","DOIUrl":null,"url":null,"abstract":"This paper describes the architecture and implementation of telemedicine via Internet for heart sounds and hearing screening diagnosis. Web based application are used as a medium for interaction between patients and doctors. Using ActiveX technology and Internet protocol, the biomedical signals are captured and sent to server. To strengthen analyses of heart sounds, time-frequency method using B-distribution technique has been applied. Features of heart sounds were obtained using singular value decomposition. The appointed doctors then view the signals and analyze heart condition. Recommendation of further action can be made and sent to the users.","PeriodicalId":385132,"journal":{"name":"Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIH-MSP.2007.281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper describes the architecture and implementation of telemedicine via Internet for heart sounds and hearing screening diagnosis. Web based application are used as a medium for interaction between patients and doctors. Using ActiveX technology and Internet protocol, the biomedical signals are captured and sent to server. To strengthen analyses of heart sounds, time-frequency method using B-distribution technique has been applied. Features of heart sounds were obtained using singular value decomposition. The appointed doctors then view the signals and analyze heart condition. Recommendation of further action can be made and sent to the users.
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