Cargando…

Tablet-Based Automatic Assessment for Early Detection of Alzheimer's Disease Using Speech Responses to Daily Life Questions

Health-monitoring technologies for automatically detecting the early signs of Alzheimer's disease (AD) have become increasingly important. Speech responses to neuropsychological tasks have been used for quantifying changes resulting from AD and differentiating AD and mild cognitive impairment (...

Descripción completa

Detalles Bibliográficos
Autores principales: Yamada, Yasunori, Shinkawa, Kaoru, Kobayashi, Masatomo, Nishimura, Masafumi, Nemoto, Miyuki, Tsukada, Eriko, Ota, Miho, Nemoto, Kiyotaka, Arai, Tetsuaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521899/
https://www.ncbi.nlm.nih.gov/pubmed/34713127
http://dx.doi.org/10.3389/fdgth.2021.653904
_version_ 1784584982824484864
author Yamada, Yasunori
Shinkawa, Kaoru
Kobayashi, Masatomo
Nishimura, Masafumi
Nemoto, Miyuki
Tsukada, Eriko
Ota, Miho
Nemoto, Kiyotaka
Arai, Tetsuaki
author_facet Yamada, Yasunori
Shinkawa, Kaoru
Kobayashi, Masatomo
Nishimura, Masafumi
Nemoto, Miyuki
Tsukada, Eriko
Ota, Miho
Nemoto, Kiyotaka
Arai, Tetsuaki
author_sort Yamada, Yasunori
collection PubMed
description Health-monitoring technologies for automatically detecting the early signs of Alzheimer's disease (AD) have become increasingly important. Speech responses to neuropsychological tasks have been used for quantifying changes resulting from AD and differentiating AD and mild cognitive impairment (MCI) from cognitively normal (CN). However, whether and how other types of speech tasks with less burden on older adults could be used for detecting early signs of AD remains unexplored. In this study, we developed a tablet-based application and compared speech responses to daily life questions with those to neuropsychological tasks in terms of differentiating MCI from CN. We found that in daily life questions, around 80% of speech features showing significant differences between CN and MCI overlapped those showing significant differences in both our study and other studies using neuropsychological tasks, but the number of significantly different features as well as their effect sizes from life questions decreased compared with those from neuropsychological tasks. On the other hand, the results of classification models for detecting MCI by using the speech features showed that daily life questions could achieve high accuracy, i.e., 86.4%, comparable to neuropsychological tasks by using eight questions against all five neuropsychological tasks. Our results indicate that, while daily life questions may elicit weaker but statistically discernable differences in speech responses resulting from MCI than neuropsychological tasks, combining them could be useful for detecting MCI with comparable performance to using neuropsychological tasks, which could help develop health-monitoring technologies for early detection of AD in a less burdensome manner.
format Online
Article
Text
id pubmed-8521899
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-85218992021-10-27 Tablet-Based Automatic Assessment for Early Detection of Alzheimer's Disease Using Speech Responses to Daily Life Questions Yamada, Yasunori Shinkawa, Kaoru Kobayashi, Masatomo Nishimura, Masafumi Nemoto, Miyuki Tsukada, Eriko Ota, Miho Nemoto, Kiyotaka Arai, Tetsuaki Front Digit Health Digital Health Health-monitoring technologies for automatically detecting the early signs of Alzheimer's disease (AD) have become increasingly important. Speech responses to neuropsychological tasks have been used for quantifying changes resulting from AD and differentiating AD and mild cognitive impairment (MCI) from cognitively normal (CN). However, whether and how other types of speech tasks with less burden on older adults could be used for detecting early signs of AD remains unexplored. In this study, we developed a tablet-based application and compared speech responses to daily life questions with those to neuropsychological tasks in terms of differentiating MCI from CN. We found that in daily life questions, around 80% of speech features showing significant differences between CN and MCI overlapped those showing significant differences in both our study and other studies using neuropsychological tasks, but the number of significantly different features as well as their effect sizes from life questions decreased compared with those from neuropsychological tasks. On the other hand, the results of classification models for detecting MCI by using the speech features showed that daily life questions could achieve high accuracy, i.e., 86.4%, comparable to neuropsychological tasks by using eight questions against all five neuropsychological tasks. Our results indicate that, while daily life questions may elicit weaker but statistically discernable differences in speech responses resulting from MCI than neuropsychological tasks, combining them could be useful for detecting MCI with comparable performance to using neuropsychological tasks, which could help develop health-monitoring technologies for early detection of AD in a less burdensome manner. Frontiers Media S.A. 2021-03-17 /pmc/articles/PMC8521899/ /pubmed/34713127 http://dx.doi.org/10.3389/fdgth.2021.653904 Text en Copyright © 2021 Yamada, Shinkawa, Kobayashi, Nishimura, Nemoto, Tsukada, Ota, Nemoto and Arai. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Digital Health
Yamada, Yasunori
Shinkawa, Kaoru
Kobayashi, Masatomo
Nishimura, Masafumi
Nemoto, Miyuki
Tsukada, Eriko
Ota, Miho
Nemoto, Kiyotaka
Arai, Tetsuaki
Tablet-Based Automatic Assessment for Early Detection of Alzheimer's Disease Using Speech Responses to Daily Life Questions
title Tablet-Based Automatic Assessment for Early Detection of Alzheimer's Disease Using Speech Responses to Daily Life Questions
title_full Tablet-Based Automatic Assessment for Early Detection of Alzheimer's Disease Using Speech Responses to Daily Life Questions
title_fullStr Tablet-Based Automatic Assessment for Early Detection of Alzheimer's Disease Using Speech Responses to Daily Life Questions
title_full_unstemmed Tablet-Based Automatic Assessment for Early Detection of Alzheimer's Disease Using Speech Responses to Daily Life Questions
title_short Tablet-Based Automatic Assessment for Early Detection of Alzheimer's Disease Using Speech Responses to Daily Life Questions
title_sort tablet-based automatic assessment for early detection of alzheimer's disease using speech responses to daily life questions
topic Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521899/
https://www.ncbi.nlm.nih.gov/pubmed/34713127
http://dx.doi.org/10.3389/fdgth.2021.653904
work_keys_str_mv AT yamadayasunori tabletbasedautomaticassessmentforearlydetectionofalzheimersdiseaseusingspeechresponsestodailylifequestions
AT shinkawakaoru tabletbasedautomaticassessmentforearlydetectionofalzheimersdiseaseusingspeechresponsestodailylifequestions
AT kobayashimasatomo tabletbasedautomaticassessmentforearlydetectionofalzheimersdiseaseusingspeechresponsestodailylifequestions
AT nishimuramasafumi tabletbasedautomaticassessmentforearlydetectionofalzheimersdiseaseusingspeechresponsestodailylifequestions
AT nemotomiyuki tabletbasedautomaticassessmentforearlydetectionofalzheimersdiseaseusingspeechresponsestodailylifequestions
AT tsukadaeriko tabletbasedautomaticassessmentforearlydetectionofalzheimersdiseaseusingspeechresponsestodailylifequestions
AT otamiho tabletbasedautomaticassessmentforearlydetectionofalzheimersdiseaseusingspeechresponsestodailylifequestions
AT nemotokiyotaka tabletbasedautomaticassessmentforearlydetectionofalzheimersdiseaseusingspeechresponsestodailylifequestions
AT araitetsuaki tabletbasedautomaticassessmentforearlydetectionofalzheimersdiseaseusingspeechresponsestodailylifequestions