{"title":"缺血性事件检测的决策支持系统","authors":"F. O. Favretto, C. Farias, L. Murta","doi":"10.1109/CIC.2007.4745459","DOIUrl":null,"url":null,"abstract":"This paper describes the main aspects of a decision support system for automatic detection of ischemic events from electrocardiogram (ECG) digital data. In order to detect ischemic events, the system extracts a number of autoregressive coefficients from the ECG signal as well as a measure of the ST-segment deviation. The Quadratic Discriminant Function was used to perform the ECG classification. An ECG visualization tool and an ECG digital data to XML converter were also developed in scope of this work.","PeriodicalId":406683,"journal":{"name":"2007 Computers in Cardiology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A decision support system for ischemic event detection\",\"authors\":\"F. O. Favretto, C. Farias, L. Murta\",\"doi\":\"10.1109/CIC.2007.4745459\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the main aspects of a decision support system for automatic detection of ischemic events from electrocardiogram (ECG) digital data. In order to detect ischemic events, the system extracts a number of autoregressive coefficients from the ECG signal as well as a measure of the ST-segment deviation. The Quadratic Discriminant Function was used to perform the ECG classification. An ECG visualization tool and an ECG digital data to XML converter were also developed in scope of this work.\",\"PeriodicalId\":406683,\"journal\":{\"name\":\"2007 Computers in Cardiology\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 Computers in Cardiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIC.2007.4745459\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Computers in Cardiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.2007.4745459","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A decision support system for ischemic event detection
This paper describes the main aspects of a decision support system for automatic detection of ischemic events from electrocardiogram (ECG) digital data. In order to detect ischemic events, the system extracts a number of autoregressive coefficients from the ECG signal as well as a measure of the ST-segment deviation. The Quadratic Discriminant Function was used to perform the ECG classification. An ECG visualization tool and an ECG digital data to XML converter were also developed in scope of this work.
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