{"title":"增加脑电信号样本熵稳定性的方法及其在人体状态监测中的应用","authors":"Y. Zhivolupova, Oleg Tcvetkov","doi":"10.23919/FRUCT.2017.8071357","DOIUrl":null,"url":null,"abstract":"New approach for calculation of electroencephalogram Sample Entropy, experimental data and peculiarities of its interpretation are presented. Main aim of the research to formulate rules that allow to use Sample Entropy in human state monitoring by electroencephalogram more efficiently and give new information about electroencephalogram signal that can be useful for different researchers. This method is suitable for any non-linear, non-stationary signals with a chaotic nature. Moreover, it is recommended for descrying as additional technique for other entropy-based methods.","PeriodicalId":114353,"journal":{"name":"2017 20th Conference of Open Innovations Association (FRUCT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"The method for increasing of EEG signal sample entropy stability and its application for human state monitoring\",\"authors\":\"Y. Zhivolupova, Oleg Tcvetkov\",\"doi\":\"10.23919/FRUCT.2017.8071357\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"New approach for calculation of electroencephalogram Sample Entropy, experimental data and peculiarities of its interpretation are presented. Main aim of the research to formulate rules that allow to use Sample Entropy in human state monitoring by electroencephalogram more efficiently and give new information about electroencephalogram signal that can be useful for different researchers. This method is suitable for any non-linear, non-stationary signals with a chaotic nature. Moreover, it is recommended for descrying as additional technique for other entropy-based methods.\",\"PeriodicalId\":114353,\"journal\":{\"name\":\"2017 20th Conference of Open Innovations Association (FRUCT)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 20th Conference of Open Innovations Association (FRUCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/FRUCT.2017.8071357\",\"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.2017.8071357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The method for increasing of EEG signal sample entropy stability and its application for human state monitoring
New approach for calculation of electroencephalogram Sample Entropy, experimental data and peculiarities of its interpretation are presented. Main aim of the research to formulate rules that allow to use Sample Entropy in human state monitoring by electroencephalogram more efficiently and give new information about electroencephalogram signal that can be useful for different researchers. This method is suitable for any non-linear, non-stationary signals with a chaotic nature. Moreover, it is recommended for descrying as additional technique for other entropy-based methods.
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