Videokymography in voice disorders: What to look for?
Videokymography in voice disorders: What to look for?
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DOI：
10.1177/000348940711600303
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发表时间：
2007-03-01
影响因子：
1.4
通讯作者：
Schutte, Harm K.
中科院分区：
文献类型：
--
作者：
Svec, Jan G.;Sram, Frantisek;Schutte, Harm K.
目的：通过视频心电图成像已被认为是显示喉部行为的一种方便、新颖的方法，但很少有系统的研究来描绘这些图像中显示的相关特征。在这里，我们的目的是规范这些特征，使系统的视觉表征和语音障碍的声带振动模式的分类。方法：采用横断面描述性设计。我们选择了45名受试者，并从7000多名患有各种声音障碍的受试者的视频心动图检查档案中提取了100张视频心动图。这些图像显示了在持续发声过程中各种各样的声带振动行为。我们从视觉上识别出区分图像中振动模式的突出特征。结果：我们将发现分为10个特征类别。它们包括传统特征（例如，粘膜波），以及在联喉镜检查中被掩盖的附加特征（例如，不同类型的不规则，左右频率差异，外侧和内侧峰的形状，周期畸变）。结论：识别特征的变化揭示了声音障碍的不同行为起源。这些发现为客观记录和临床实践中通过心电图成像监测声带行为开辟了新的可能性。
Objectives: Kymographic imaging through videokymography has been recognized as a convenient, novel way to display laryngeal behavior, yet little systematic research has been done to map the relevant features displayed in such images. Here we have aimed at specification of these features to enable systematic visual characterization and categorization of vocal fold vibratory patterns in voice disorders.Methods: A cross-sectional, descriptive design was used. We selected 45 subjects and extracted 100 videokymographic images from the archive of more than 7,000 videokymographic examinations of subjects with a wide range of voice disorders. The images showed a large variety of vocal fold vibratory behaviors during sustained phonations. We visually identified the prominent features that distinguished the vibration patterns across the images.Results: We divided the findings into 10 feature categories. They included refined traditional features (eg, mucosal waves), as well as additional features that are obscured in strobolaryngoscopy (eg, different types of irregularities, left-right frequency differences, shapes of lateral and medial peaks, cycle aberrations).Conclusions: The variations in the identified features reveal different behavioral origins of voice disorders. The findings open new possibilities for objective documentation and for monitoring vocal fold behavior in clinical practice through kymographic imaging.