{"title":"Pattern based ECG diagnosis","authors":"N. Parthasarathy, M. Ahmadi, M. Shridhar","doi":"10.1109/PACRIM.1991.160806","DOIUrl":null,"url":null,"abstract":"A system with a complex data structure which provides for diagnosis of multiple disorders of the heart is introduced. In the proposed data structure, a tree is used to represent a waveform. The normal and abnormal electrocardiogram (ECG) waveforms are represented by a tree structure. The degree of mismatch between the two trees in terms of node splitting and merging operations are calculated. The three distances which are a measure of the structural deformation of the waveforms form the background medical information required for diagnosis. A key characteristic of the system is the congenial man-machine interface. The system is capable of explaining to the user the reasoning process for its diagnosis. The model is independent, thereby allowing expansions to include disorders from other disciplines.<<ETX>>","PeriodicalId":289986,"journal":{"name":"[1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.1991.160806","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
A system with a complex data structure which provides for diagnosis of multiple disorders of the heart is introduced. In the proposed data structure, a tree is used to represent a waveform. The normal and abnormal electrocardiogram (ECG) waveforms are represented by a tree structure. The degree of mismatch between the two trees in terms of node splitting and merging operations are calculated. The three distances which are a measure of the structural deformation of the waveforms form the background medical information required for diagnosis. A key characteristic of the system is the congenial man-machine interface. The system is capable of explaining to the user the reasoning process for its diagnosis. The model is independent, thereby allowing expansions to include disorders from other disciplines.<>