Dongying Qin, B. Houchins, M. Parten, Nicole Parker, R. Homan, A. Petrosian
{"title":"癫痫发作预测技术的比较","authors":"Dongying Qin, B. Houchins, M. Parten, Nicole Parker, R. Homan, A. Petrosian","doi":"10.1109/CBMS.1995.465436","DOIUrl":null,"url":null,"abstract":"EEG signal analysis has been proposed for early warning of an epileptic seizure. A number of different signal analysis techniques are examined and compared using an example EEG signal. The objective of this comparison is to determine which analysis technique to use in an automatic, real time early warning system for epileptic patients.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A comparison of techniques for the prediction of epileptic seizures\",\"authors\":\"Dongying Qin, B. Houchins, M. Parten, Nicole Parker, R. Homan, A. Petrosian\",\"doi\":\"10.1109/CBMS.1995.465436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"EEG signal analysis has been proposed for early warning of an epileptic seizure. A number of different signal analysis techniques are examined and compared using an example EEG signal. The objective of this comparison is to determine which analysis technique to use in an automatic, real time early warning system for epileptic patients.<<ETX>>\",\"PeriodicalId\":254366,\"journal\":{\"name\":\"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CBMS.1995.465436\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.1995.465436","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparison of techniques for the prediction of epileptic seizures
EEG signal analysis has been proposed for early warning of an epileptic seizure. A number of different signal analysis techniques are examined and compared using an example EEG signal. The objective of this comparison is to determine which analysis technique to use in an automatic, real time early warning system for epileptic patients.<>