Abstract
Background
Identifying signs of Alzheimer disease (AD) through longitudinal and passive monitoring techniques has become increasingly important. Previous studies have succeeded in quantifying language dysfunctions and identifying AD from speech data collected during neuropsychological tests. However, whether and how we can quantify language dysfunction in daily conversation remains unexplored.
Objective
The objective of this study was to explore the linguistic features that can be used for differentiating AD patients from daily conversations.
Methods
We analyzed daily conversational data of seniors with and without AD obtained from longitudinal follow-up in a regular monitoring service (from n=15 individuals including 2 AD patients at an average follow-up period of 16.1 months; 1032 conversational data items obtained during phone calls and approximately 221 person-hours). In addition to the standard linguistic features used in previous studies on connected speech data during neuropsychological tests, we extracted novel features related to atypical repetition of words and topics reported by previous observational and descriptive studies as one of the prominent characteristics in everyday conversations of AD patients.
Results
When we compared the discriminative power for AD, we found that atypical repetition in two conversations on different days outperformed other linguistic features used in previous studies on speech data during neuropsychological tests. It was also a better indicator than atypical repetition in single conversations as well as that in two conversations separated by a specific number of conversations.
Conclusions
Our results show how linguistic features related to atypical repetition across days could be used for detecting AD from daily conversations in a passive manner by taking advantage of longitudinal data.
Subject
Psychiatry and Mental health
Reference59 articles.
1. Alzheimer's Disease International20182019-12-22World Alzheimer Report 2018: the state of the art of dementia research: new frontiershttps://www.alz.co.uk/research/WorldAlzheimerReport2018.pdf
2. PrinceMComas-HerreraAKnappMGuerchetMKaragiannidouMAlzheimer's Disease International20162019-12-22World Alzheimer Report 2016: improving healthcare for people living with dementia: coverage, quality and costs now and in the futurehttps://www.alz.co.uk/research/WorldAlzheimerReport2016.pdf
3. Use of nonintrusive sensor‐based information and communication technology for real‐world evidence for clinical trials in dementia
4. Digital biomarkers for Alzheimer’s disease: the mobile/wearable devices opportunity
5. Primary Progressive Aphasia and Alzheimer’s Disease: Brief History, Recent Evidence
Cited by
27 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献