{"title":"心率序列中检测心动过速的准确性估计","authors":"L. Telksnys, J. Kaukenas","doi":"10.1109/HealthCom.2012.6379377","DOIUrl":null,"url":null,"abstract":"The accuracy estimation of detection of extrasystoles in heart rate sequences is investigated. Decision making is based on detection of short-term specific random elements in non-stationary random sequences recognition theory application and mathematical modelling. The decision opens a possibility to develop wearable, green - energy saving equipment for long-term heart rate variability monitoring of ubiquitous, unobtrusive people: active young people, living alone and ageing seniors. The experimental results are presented.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Accuracy estimation of detection of extrasystoles in heart rate sequences\",\"authors\":\"L. Telksnys, J. Kaukenas\",\"doi\":\"10.1109/HealthCom.2012.6379377\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The accuracy estimation of detection of extrasystoles in heart rate sequences is investigated. Decision making is based on detection of short-term specific random elements in non-stationary random sequences recognition theory application and mathematical modelling. The decision opens a possibility to develop wearable, green - energy saving equipment for long-term heart rate variability monitoring of ubiquitous, unobtrusive people: active young people, living alone and ageing seniors. The experimental results are presented.\",\"PeriodicalId\":138952,\"journal\":{\"name\":\"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HealthCom.2012.6379377\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HealthCom.2012.6379377","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accuracy estimation of detection of extrasystoles in heart rate sequences
The accuracy estimation of detection of extrasystoles in heart rate sequences is investigated. Decision making is based on detection of short-term specific random elements in non-stationary random sequences recognition theory application and mathematical modelling. The decision opens a possibility to develop wearable, green - energy saving equipment for long-term heart rate variability monitoring of ubiquitous, unobtrusive people: active young people, living alone and ageing seniors. The experimental results are presented.
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