在不同的听觉反条件下产生的语音节奏和发音特征可以识别帕金森症
Ángeles Piña Méndez1, Alan Taitz2, Oscar Palacios Rodríguez1
1Faculty of Psychology, Autonomous University of San Luis Potosí, San Luis Potosí, Mexico.
Scientific reports
|July 9, 2024
概括
一个新的语音测试通过在改变的听觉反下分析节奏音节重复来准确地识别帕金森症. 这种可访问的方法对早期帕金森氏症有很大的希望.
科学领域:
- 神经学 神经学
- 语音语言病理学 语言病理学
- 生物医学工程 生物医学工程
背景情况:
- 帕金森症的诊断缺乏客观的基于语言的测试.
- 听觉反和语音节奏异常是已知的帕金森症缺陷.
- 这些缺陷尚未纳入诊断工具.
研究的目的:
- 开发和验证一种用于帕金森症识别的新型语音行为测试.
- 在改变的听觉反下评估节奏的音节重复.
- 为了区分患有帕金森病 (PD) 的人与健康的对照人.
主要方法:
- 一组30名PD患者和30名健康对照.
- 参与者在大声和低声说话时节奏地重复音节 (PA-TA-KA).
- 在各种听觉反条件下分析了语音.
- 一个机器学习算法根据语音参数对参与者进行了分类.
主要成果:
- 患有PD的个体在改变反的情况下表现出低声和发音上的困难.
- 患有PD的患者表现出言语发作的延迟和不一致的节奏结构.
- 机器学习算法实现了85.4%的准确度,86.5%的灵敏度和84.3%的特异性.
结论:
- 拟议的行为语音测试是一种潜在的客观和可访问的帕金森症诊断工具.
- 这种方法有效地使用语音特征来区分患有PD的个体.
- 需要在更大的队列中进一步验证.
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