{"title":"基于脑电图的通信:一种模式识别方法。","authors":"W D Penny, S J Roberts, E A Curran, M J Stokes","doi":"10.1109/86.847820","DOIUrl":null,"url":null,"abstract":"<p><p>We present an overview of our research into brain-computer interfacing (BCI). This comprises an offline study of the effect of motor imagery on EEG and an online study that uses pattern classifiers incorporating parameter uncertainty and temporal information to discriminate between different cognitive tasks in real-time.</p>","PeriodicalId":79442,"journal":{"name":"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society","volume":"8 2","pages":"214-5"},"PeriodicalIF":0.0000,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.847820","citationCount":"261","resultStr":"{\"title\":\"EEG-based communication: a pattern recognition approach.\",\"authors\":\"W D Penny, S J Roberts, E A Curran, M J Stokes\",\"doi\":\"10.1109/86.847820\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>We present an overview of our research into brain-computer interfacing (BCI). This comprises an offline study of the effect of motor imagery on EEG and an online study that uses pattern classifiers incorporating parameter uncertainty and temporal information to discriminate between different cognitive tasks in real-time.</p>\",\"PeriodicalId\":79442,\"journal\":{\"name\":\"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society\",\"volume\":\"8 2\",\"pages\":\"214-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1109/86.847820\",\"citationCount\":\"261\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/86.847820\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/86.847820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EEG-based communication: a pattern recognition approach.
We present an overview of our research into brain-computer interfacing (BCI). This comprises an offline study of the effect of motor imagery on EEG and an online study that uses pattern classifiers incorporating parameter uncertainty and temporal information to discriminate between different cognitive tasks in real-time.
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