喉膜振动图作为声动态的规范化的时空表现
Mona Kirstin Fehling1,2, Maria Schuster3, Maximilian Linxweiler4
1Department of Computer Science, Trier University of Applied Sciences, Schneidershof, 54293, Trier, Germany. M.Fehling@hochschule-trier.de.
Scientific reports
|May 12, 2025
概括
这项研究引入了喉振动图 (LVG),以比以前的方法更全面地分析声振动. LVG通过检查整个声组织,而不仅仅是眼球口,为语音障碍提供了更好的诊断准确性.
科学领域:
- 喉腔病理学 喉腔病理学
- 生物医学工程 生物医学工程
- 语音科学 语言科学
背景情况:
- 高速视频 (HSV) 内镜对于诊断语音障碍和分析声 (VF) 振动至关重要.
- 像Phonovibrogram (PVG) 这样的现有方法只专注于球区域,忽视了关键的VF组织动态.
- 这种有限的范围使得VF振动行为的临床解释和可比性变得复杂.
研究的目的:
- 通过开发一种新的方法来扩展PVG,用于对VF振动行为进行全面的定量分析.
- 引入喉振动图 (LVG) 以更完整地表示VF组织动态.
- 提高语音障碍诊断和治疗监测的准确性和可靠性.
主要方法:
- 通过从HSV记录中对喉部区域和VF组织进行细分,开发了喉膜膜图 (LVG).
- 研究了73个健康和病态受试者在静止和非静止声调期间的HSV记录中的LVG性能.
- 引入了规范化的振动幅度和VF角度计算,用于定量比较和短暂效应分析.
主要成果:
- LVG可靠地绘制了整个组织中的VF振动行为,无论是健康的还是病态的声调.
- 与PVG相比,基于LVG的测量结果在健康受试者中显示出更高的稳定性和更窄的规范范围.
- 在不同的临床组中,LVG表现出更强大的效果大小,这表明对振动障碍的评估更为可靠.
结论:
- LVG 代表了向整体分析喉动态的范式转变,整合了 VF 组织信息.
- 这种方法提高了病理学检测的准确性,并减少了语音障碍诊断中的主观评估错误.
- 该LVG促进了有意义的定量比较,并优化了治疗后续,改善了临床诊断和治疗结果.
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