Computerized analysis of speech and voice for Parkinson's disease: A systematic review.
| Title: | Computerized analysis of speech and voice for Parkinson's disease: A systematic review. |
|---|---|
| Authors: | Ngo QC; Biosignals Lab, RMIT University, Melbourne, Australia.; Motin MA; Biosignals Lab, RMIT University, Melbourne, Australia; Department of Electrical & Electronic Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.; Pah ND; Biosignals Lab, RMIT University, Melbourne, Australia; Universitas Surabaya, Indonesia.; Drotár P; Intelligent Information Systems Lab, Technical University of Kosice, Letna 9, 42001, Kosice, Slovakia.; Kempster P; Neurosciences Department, Monash Health, Clayton, VIC, Australia; Department of Medicine, School of Clinical Sciences, Monash University, Clayton, VIC, Australia.; Kumar D; Biosignals Lab, RMIT University, Melbourne, Australia. Electronic address: dinesh.kumar@rmit.edu.au. |
| Source: | Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2022 Nov; Vol. 226, pp. 107133. Date of Electronic Publication: 2022 Sep 16. |
| Publication Type: | Systematic Review; Journal Article |
| Language: | English |
| Journal Info: | Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7565 (Electronic) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE |
| Imprint Name(s): | Publication: Limerick : Elsevier Scientific Publishers; Original Publication: Amsterdam : Elsevier Science Publishers, c1984- |
| MeSH Terms: | Parkinson Disease*/diagnosis ; Voice*/physiology; Speech/physiology ; Speech Disorders/diagnosis ; Humans |
| Abstract: | Background and Objective: Speech impairment is an early symptom of Parkinson's disease (PD). This study has summarized the literature related to speech and voice in detecting PD and assessing its severity.; Methods: A systematic review of the literature from 2010 to 2021 to investigate analysis methods and signal features. The keywords "Automatic analysis" in conjunction with "PD speech" or "PD voice" were used, and the PubMed and ScienceDirect databases were searched. A total of 838 papers were found on the first run, of which 189 were selected. One hundred and forty-seven were found to be suitable for the review. The different datasets, recording protocols, signal analysis methods and features that were reported are listed. Values of the features that separate PD patients from healthy controls were tabulated. Finally, the barriers that limit the wide use of computerized speech analysis are discussed.; Results: Speech and voice may be valuable markers for PD. However, large differences between the datasets make it difficult to compare different studies. In addition, speech analytic methods that are not informed by physiological understanding may alienate clinicians.; Conclusions: The potential usefulness of speech and voice for the detection and assessment of PD is confirmed by evidence from the classification and correlation results.; (Copyright © 2022. Published by Elsevier B.V.) |
| Competing Interests: | Declaration of Competing Interest The authors declare no conflict of interests. |
| Contributed Indexing: | Keywords: Acoustics; Articulation; Parkinson's disease; Phonation; Speech; Voice |
| Entry Date(s): | Date Created: 20221002 Date Completed: 20221114 Latest Revision: 20250623 |
| Update Code: | 20260130 |
| DOI: | 10.1016/j.cmpb.2022.107133 |
| PMID: | 36183641 |
| Database: | MEDLINE |
Systematic Review; Journal Article