{"title":"EEG-based brain-computer interface for real-time communication of patients in completely locked-in state","authors":"Changhee Han, C. Im","doi":"10.1109/IWW-BCI.2018.8311509","DOIUrl":null,"url":null,"abstract":"In this study, we developed a practical EEG-based BCI paradigm for online binary communication of patients in completely locked-in state (CLIS). The performance of our BCI paradigm was evaluated with a female patient in CLIS, who had never communicated even with her family for more than a year. An average online classification accuracy of 87.5 % was achieved using EEG data recorded just for 5 seconds. This is the first report of successful application of EEG-based BCI to the online yes/no communication of patients in CLIS.","PeriodicalId":6537,"journal":{"name":"2018 6th International Conference on Brain-Computer Interface (BCI)","volume":"38 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 6th International Conference on Brain-Computer Interface (BCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWW-BCI.2018.8311509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
In this study, we developed a practical EEG-based BCI paradigm for online binary communication of patients in completely locked-in state (CLIS). The performance of our BCI paradigm was evaluated with a female patient in CLIS, who had never communicated even with her family for more than a year. An average online classification accuracy of 87.5 % was achieved using EEG data recorded just for 5 seconds. This is the first report of successful application of EEG-based BCI to the online yes/no communication of patients in CLIS.