Application of speech repetition task in the detection of mild cognitive impairment
10.3969/j.issn.1002-0152.2024.04.010
- VernacularTitle:语音重复任务在轻度认知功能障碍检测中的应用
- Author:
Xiaoxiao YIN
1
;
Siwen WANG
;
He WANG
;
Linlin GAO
;
Zhi REN
;
Qinwen WANG
Author Information
1. 宁波大学教师教育学院(宁波 315211)
- Keywords:
Mild cognitive impairment;
Task repetition;
Alzheimer disease;
Language;
Speech repetition;
Ma-chine learning;
Deep learning
- From:
Chinese Journal of Nervous and Mental Diseases
2024;50(4):247-251
- CountryChina
- Language:Chinese
-
Abstract:
Mild cognitive impairment(MCI)is often regarded as a prodromal stage of dementia,primarily characterized by mild decline in cognitive function.Due to the mild nature of its symptoms,many MCI cases miss the opportunity for intervention.Research indicates that linguistic changes in MCI may precede other cognitive symptoms,providing an opportunity for early identification and intervention.These linguistic changes include abnormalities in speech rate,pronunciation,and intonation.Speech repetition tasks,such as the five-word test,delayed digit matching,and sentence repetition tests,are effective methods for assessing the speech characteristics of MCI patients.These tasks involve asking patients to repeat specific content,and analyzing the accuracy of their repetitions to assess their speech function.The application of machine learning and deep learning techniques enables automatic extraction of MCI-related features from speech data,improving diagnostic accuracy.The combined application of these techniques contributes to the early detection of MCI,providing a basis for timely intervention.
