基于在语音元素中引起的非自愿变化,轻度认知障碍的歧视
Masakazu Higuchi1, Mitsuteru Nakamura1, Yasuhiro Omiya1
1Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
Frontiers in neurology
|July 7, 2023
概括
这项研究提出了一种新的语音指数,用于检测老年人的轻度认知障碍. 该指数分析了认知任务期间的声音变化,提供了一个潜在的新诊断工具.
科学领域:
- 老年学是一门学科.
- 神经学 神经学
- 语音科学 语言科学
背景情况:
- 早期发现轻度认知障碍 (MCI) 对于及时干预至关重要.
- 声音特征的微妙变化可以反映出与认知衰退相关的神经学变化.
研究的目的:
- 开发和验证基于语音的指数,以区分健康的老年人和轻度认知障碍者.
- 调查认知任务表现,声带功能和老龄化人口中的表情变化之间的关系.
主要方法:
- 从399名老年参与者 (≥65岁) 收集了语音样本,这些参与者在脑力计算和阅读任务中进行了语音测试.
- 声学分析量化了基于特定任务的声乐差异的唱变化.
- 主要组件分析和后勤回归被用来开发一个有区别的语音指数.
主要成果:
- 拟议的语音指数在培训数据上达到90%的准确性,在独立验证数据上达到65%的准确性,用于区分轻度认知障碍.
- 随着认知任务的复杂性和进展,观察到声带和表情的显著变化.
结论:
- 开发的语音指数显示了作为一种非侵入性工具的承诺,用于识别老年人中轻度认知障碍.
- 语音分析为早期查和认知衰退的诊断提供了一个潜在的途径.
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