TY - GEN
T1 - A Dementia Classification Based on Speech Analysis of Casual Talk During a Clinical Interview
AU - Hanai, Shunya
AU - Kato, Shohei
AU - Sakuma, Takuto
AU - Ohdake, Reiko
AU - Masuda, Michihito
AU - Watanabe, Hirohisa
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper proposes a dementia screening system based on spontaneous speech analysis to assist general practitioners. Our research aims to detect dementia, especially frontotemporal lobar degeneration (FTLD). We propose a new method of dementia detection by casual talk during a clinical interview that is simpler and quicker than previous studies. The method uses speech features from an answer to the question to automatically detect dementia and classify dementia types. We recruited 136 Japanese subjects (50 males and 86 females between the ages of 45 and 84) in this study. Two types of dementia patients, FTLD and Alzheimer's disease (AD), were recruited. We used features from an answer to a clinical interview to classify and confirm that our method can detect 77% of people with dementia.
AB - This paper proposes a dementia screening system based on spontaneous speech analysis to assist general practitioners. Our research aims to detect dementia, especially frontotemporal lobar degeneration (FTLD). We propose a new method of dementia detection by casual talk during a clinical interview that is simpler and quicker than previous studies. The method uses speech features from an answer to the question to automatically detect dementia and classify dementia types. We recruited 136 Japanese subjects (50 males and 86 females between the ages of 45 and 84) in this study. Two types of dementia patients, FTLD and Alzheimer's disease (AD), were recruited. We used features from an answer to a clinical interview to classify and confirm that our method can detect 77% of people with dementia.
UR - http://www.scopus.com/inward/record.url?scp=85129175203&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85129175203&partnerID=8YFLogxK
U2 - 10.1109/LifeTech53646.2022.9754933
DO - 10.1109/LifeTech53646.2022.9754933
M3 - Conference contribution
AN - SCOPUS:85129175203
T3 - LifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies
SP - 38
EP - 40
BT - LifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022
Y2 - 7 March 2022 through 9 March 2022
ER -