Application progress of artificial intelligence in the study of speech disorders in Parkinson′s disease
10.3760/cma.j.cn113694-20240317-00160
- VernacularTitle:人工智能在帕金森病构音障碍研究中的应用进展
- Author:
Zhaoxia WEI
1
;
Lihua LI
;
Qinglu LUO
;
Guihua TANG
Author Information
1. 南方医科大学第十附属医院（东莞市人民医院）康复医学科 东莞市中医药局临床重点（特色）专科 东莞市运动康复研究实验中心，东莞 523058
- Keywords:
Parkinson disease;
Dysarthria;
Artificial intelligence;
Speech analysis;
Machine learning
- From:
Chinese Journal of Neurology
2024;57(11):1259-1263
- CountryChina
- Language:Chinese
-
Abstract:
Parkinson′s disease (PD) is a neurodegenerative disorder that significantly impacts speech and voice, leading to hypokinetic dysarthria, a motor speech disorder. The advent of artificial intelligence (AI) has opened new avenues for the assessment, diagnosis, and rehabilitation of PD-associated speech impairments. This review explores the application of AI in the study of PD speech disorders, focusing on automated speech analysis, machine learning algorithms, and the development of speech pathology databases. This review also discusses the methodologies and technologies employed, such as speech signal processing, feature extraction techniques, classification algorithms, and the symptoms they can detect, including voice quality, articulation, speech rate, and prosody. The role of AI in early diagnosis, disease progression monitoring, treatment evaluation, and remote rehabilitation is highlighted. The review concludes with a discussion on the potential and challenges of AI in this field and recommendations for future research.
