{"title":"软计算技术在癫痫发作检测中的研究进展","authors":"P. G. K. Prince, R. Hemamalini","doi":"10.1109/INTERACT.2010.5706183","DOIUrl":null,"url":null,"abstract":"This paper provides a survey of different soft computing methods used in epileptic seizure detection from the EEG signal of the patient. The soft computing algorithms discussed here are Neural Network, fuzzy logic and probabilistic reasoning. The methodology, application and accuracy of each method are analyzed.","PeriodicalId":201931,"journal":{"name":"INTERACT-2010","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A survey on soft computing techniques in epileptic seizure detection\",\"authors\":\"P. G. K. Prince, R. Hemamalini\",\"doi\":\"10.1109/INTERACT.2010.5706183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper provides a survey of different soft computing methods used in epileptic seizure detection from the EEG signal of the patient. The soft computing algorithms discussed here are Neural Network, fuzzy logic and probabilistic reasoning. The methodology, application and accuracy of each method are analyzed.\",\"PeriodicalId\":201931,\"journal\":{\"name\":\"INTERACT-2010\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INTERACT-2010\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INTERACT.2010.5706183\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERACT-2010","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTERACT.2010.5706183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A survey on soft computing techniques in epileptic seizure detection
This paper provides a survey of different soft computing methods used in epileptic seizure detection from the EEG signal of the patient. The soft computing algorithms discussed here are Neural Network, fuzzy logic and probabilistic reasoning. The methodology, application and accuracy of each method are analyzed.
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