ヒューマンインタフェース学会論文誌
Online ISSN : 2186-8271
Print ISSN : 1344-7262
ISSN-L : 1344-7262
一般論文
BCIと前頭葉機能検査を用いた認知症の早期診断法
諸岡 遼福島 暁洋佐藤 茜田中 久弥馬原 孝彦平尾 健太郎都河 明人羽生 春夫
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2020 年 22 巻 2 号 p. 211-218

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We are developing screening tools for dementia using character input BCI (Brain-Computer Interface). In previous study, Spelling-Error Distance Value (SEDV) could be an index of the low attention with dementia in the limited MMSE average group. However, it was not statistically clear whether classification between normal group or MCI group and dementia group was possible. Therefore, we used FAB and MOCA-J to regroup the elderly with the initial cognitive decline level and to determine if early discrimination was possible. Furthermore, we compared the elderly people who were judged as NC or MCI or DLB or AD. As a result of comparing SEDV divided into two groups by the sub-item 10 points to examine the frontal lobe function of MOCA-J, a difference of 0.80 characters was found in SEDV. Furthermore, as a result of comparing SEDV in the NC group, MCI group, DLB group and AD group, there was a difference of SEDV 1.01 characters between MCI group and AD group. In addition, there was a difference of SEDV 0.79characters between NC group and AD group. Therefore, it was shown that NC group, MCI group and AD group can be distinguished by using SEDV.

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