TY - GEN
T1 - Study on estimation of MMSE score by using the latency of P300 and alpha wave
AU - Miwa, Koki
AU - Yoshikawa, Tomohiro
AU - Furuhashi, Takashi
AU - Hoshiyama, Minoru
AU - Makino, Taeko
AU - Yanagawa, Madoka
AU - Suzuki, Yusuke
AU - Umegaki, Hiroyuki
AU - Kuzuya, Masafumi
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - The number of elderly people with dementia increases year by year, and about 20% of people in Japan over 65 years old are estimated to be dementia patients in 2030. Because dementia is difficult to be treated after the symptoms advance, early detection of dementia is important. The peak latency of P300 is one of the EEG (Electroencephalogram) features. It has been reported that the peak latency of P300 is dependent on MMSE (Mini-Mental State Examination) score. If MMSE score can be estimated by measuring the latency of P300, it is expected to be used for the early detection of dementia. However, no regression equation between MMSE score and the latency of P300 had been identified yet. The authors measured the peak latency of P300 of dementia patients who were attending the Geriatrics of Nagoya University hospital and identified a multiple regression equation with MMSE score as the objective variable, and the latency of P300, age, years of education, alpha wave power as the explanatory variables. The 95% confidence interval of estimated MMSE score was ±3.09.
AB - The number of elderly people with dementia increases year by year, and about 20% of people in Japan over 65 years old are estimated to be dementia patients in 2030. Because dementia is difficult to be treated after the symptoms advance, early detection of dementia is important. The peak latency of P300 is one of the EEG (Electroencephalogram) features. It has been reported that the peak latency of P300 is dependent on MMSE (Mini-Mental State Examination) score. If MMSE score can be estimated by measuring the latency of P300, it is expected to be used for the early detection of dementia. However, no regression equation between MMSE score and the latency of P300 had been identified yet. The authors measured the peak latency of P300 of dementia patients who were attending the Geriatrics of Nagoya University hospital and identified a multiple regression equation with MMSE score as the objective variable, and the latency of P300, age, years of education, alpha wave power as the explanatory variables. The 95% confidence interval of estimated MMSE score was ±3.09.
KW - Alpha wave
KW - Dementia
KW - Mini Mental State Examination (MMSE)
KW - Multiple regression analysis
KW - Oddball paradigm
KW - P300
UR - http://www.scopus.com/inward/record.url?scp=85067116627&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067116627&partnerID=8YFLogxK
U2 - 10.1109/SCIS-ISIS.2018.00041
DO - 10.1109/SCIS-ISIS.2018.00041
M3 - Conference contribution
AN - SCOPUS:85067116627
T3 - Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
SP - 195
EP - 199
BT - Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
Y2 - 5 December 2018 through 8 December 2018
ER -