Mayuko S. Takehara, Hiroto S. Yamamoto, R. Hasegawa
{"title":"Development of Cognitive Assessment System Based on an EEG-Switch","authors":"Mayuko S. Takehara, Hiroto S. Yamamoto, R. Hasegawa","doi":"10.5057/jjske.tjske-d-21-00042","DOIUrl":null,"url":null,"abstract":"305-8577, Japan Abstract : We have been developing a cognitive assessment system based on an electroencephalography-based brain-machine interface (EEG-based BMI) that uses event-related potentials (ERPs) as a virtual “EEG switch.” ERP reflects a temporal change in attention and is also known as a potential biomarker for assessing cognitive functions for older people even with motor decline. We recorded EEG data from 26 healthy adult subjects (18-79 years old) who performed the target-selection task with the EEG switch and compared the result with that of a standard neuropsychological test, the “Trail Making Test” (TMT). We found a correlation between them, and the result showed that this system has the potential for early detection of cognitive decline in","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions of Japan Society of Kansei Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5057/jjske.tjske-d-21-00042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
305-8577, Japan Abstract : We have been developing a cognitive assessment system based on an electroencephalography-based brain-machine interface (EEG-based BMI) that uses event-related potentials (ERPs) as a virtual “EEG switch.” ERP reflects a temporal change in attention and is also known as a potential biomarker for assessing cognitive functions for older people even with motor decline. We recorded EEG data from 26 healthy adult subjects (18-79 years old) who performed the target-selection task with the EEG switch and compared the result with that of a standard neuropsychological test, the “Trail Making Test” (TMT). We found a correlation between them, and the result showed that this system has the potential for early detection of cognitive decline in
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