{"title":"基于聚类分析的节奏图伪相象形态特征信息含量估计","authors":"Karina Khachatryan, L. Manilo","doi":"10.1109/USBEREIT.2018.8384566","DOIUrl":null,"url":null,"abstract":"Thanks to the mathematization of medical data, the diagnosis can be formulated as a mathematical problem. In this paper, methods for assessing the informative value of the morphological features of a pseudo-phase portrait of rhythmogram signals are presented.","PeriodicalId":176222,"journal":{"name":"2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Estimation of informational contents of morphological features of pseudo-phase portrait of rhythmograms on the basis of cluster analysis\",\"authors\":\"Karina Khachatryan, L. Manilo\",\"doi\":\"10.1109/USBEREIT.2018.8384566\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Thanks to the mathematization of medical data, the diagnosis can be formulated as a mathematical problem. In this paper, methods for assessing the informative value of the morphological features of a pseudo-phase portrait of rhythmogram signals are presented.\",\"PeriodicalId\":176222,\"journal\":{\"name\":\"2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/USBEREIT.2018.8384566\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/USBEREIT.2018.8384566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of informational contents of morphological features of pseudo-phase portrait of rhythmograms on the basis of cluster analysis
Thanks to the mathematization of medical data, the diagnosis can be formulated as a mathematical problem. In this paper, methods for assessing the informative value of the morphological features of a pseudo-phase portrait of rhythmogram signals are presented.