Braunschweig T, Schelhorn-Neise P, Döllinger M
Universitätsklinikum Jena, HNO-Klinik, Institut für Phoniatrie und Pädaudiologie, Jena (Prof. Dr. med. Orlando Guntinas-Lichius). Thomas.Braunschweig
Laryngorhinootologie. 2008 May;87(5):323-30. doi: 10.1055/s-2007-967068. Epub 2007 Nov 29.
Malfunctions of the human voice with unknown causes are denoted by "functional voice disorders". The high speed video imaging technique (HVT) allows the recording of the oscillating vocal folds in real time. A new method is presented, describing different types of oscillation and their onset mathematically. A precise classification of the kind of functional voice disorders is possible.
For 71 young women, from the HVT recordings two parameters were mathematically estimated, reflecting the phonation onset dynamics: The threshold value A(th), corresponding with the myoelastic tone of the vocal folds and a maximum sound pressure level of speech L(max), characterising the efficiency of voice.
Both values are sensitive for functional voice disorders and enable a differentiation between these pathologies.
Significant differences of the computed parameters between the pathological groups and normal voices substantiate the presented method as a stable and objective tool for medical diagnosis.
病因不明的人类嗓音功能障碍被称为“功能性嗓音障碍”。高速视频成像技术(HVT)能够实时记录振动的声带。本文提出了一种新方法,从数学角度描述了不同类型的振动及其起始情况。这使得对功能性嗓音障碍的类型进行精确分类成为可能。
对71名年轻女性,从HVT记录中通过数学方法估算出两个参数,以反映发声起始动态:阈值A(th),与声带的肌弹性张力相对应;以及言语的最大声压级L(max),表征嗓音的效率。
这两个值对功能性嗓音障碍都很敏感,能够区分这些病理情况。
病理组与正常嗓音之间计算参数的显著差异证实了所提出的方法是一种用于医学诊断的稳定且客观的工具。