{"title":"生物医学信号识别问题中的伪相位肖像分析方法","authors":"Karina Khachatryan, L. Manilo, A. Anisimov","doi":"10.23919/FRUCT.2017.8071305","DOIUrl":null,"url":null,"abstract":"Today the problem of analysis of biomedical signals with chaotic properties is an important task. Its decision is important for the recognition of signals with varying severity of non-linear component. The paper presents a method for biomedical signal processing, tapping on the pseudo-phase portrait differences from the normal rhythm of some of its violations. The algorithm is intended for medical computer systems and implemented in MATLAB software environment.","PeriodicalId":114353,"journal":{"name":"2017 20th Conference of Open Innovations Association (FRUCT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The method of analysis pseudo-phase portrait in the problem of recognition of biomedical signals\",\"authors\":\"Karina Khachatryan, L. Manilo, A. Anisimov\",\"doi\":\"10.23919/FRUCT.2017.8071305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today the problem of analysis of biomedical signals with chaotic properties is an important task. Its decision is important for the recognition of signals with varying severity of non-linear component. The paper presents a method for biomedical signal processing, tapping on the pseudo-phase portrait differences from the normal rhythm of some of its violations. The algorithm is intended for medical computer systems and implemented in MATLAB software environment.\",\"PeriodicalId\":114353,\"journal\":{\"name\":\"2017 20th Conference of Open Innovations Association (FRUCT)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 20th Conference of Open Innovations Association (FRUCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/FRUCT.2017.8071305\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 20th Conference of Open Innovations Association (FRUCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/FRUCT.2017.8071305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The method of analysis pseudo-phase portrait in the problem of recognition of biomedical signals
Today the problem of analysis of biomedical signals with chaotic properties is an important task. Its decision is important for the recognition of signals with varying severity of non-linear component. The paper presents a method for biomedical signal processing, tapping on the pseudo-phase portrait differences from the normal rhythm of some of its violations. The algorithm is intended for medical computer systems and implemented in MATLAB software environment.
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