Biosignals Lab, RMIT University, Melbourne, Australia.
Biosignals Lab, RMIT University, Melbourne, Australia; Department of Electrical & Electronic Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.
Comput Methods Programs Biomed. 2022 Nov;226:107133. doi: 10.1016/j.cmpb.2022.107133. Epub 2022 Sep 16.
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.
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.
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.
The potential usefulness of speech and voice for the detection and assessment of PD is confirmed by evidence from the classification and correlation results.
言语障碍是帕金森病（PD）的早期症状之一。本研究总结了与 PD 患者言语和嗓音检测及其严重程度评估相关的文献。
对 2010 年至 2021 年的文献进行系统综述，以调查分析方法和信号特征。关键词为“自动分析”与“PD 言语”或“PD 嗓音”相结合，在 PubMed 和 ScienceDirect 数据库中进行检索。首轮共检索到 838 篇论文，其中 189 篇入选。发现 147 篇适合综述。列出了报告的不同数据集、记录协议、信号分析方法和特征。列出了将 PD 患者与健康对照组区分开来的特征值。最后，讨论了限制计算机语音分析广泛应用的障碍。
言语和嗓音可能是 PD 的有价值的标志物。然而，数据集之间的巨大差异使得难以比较不同的研究。此外，不受生理理解指导的语音分析方法可能会使临床医生感到陌生。
分类和相关性结果证实了言语和嗓音在 PD 的检测和评估中的潜在作用。
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