Voigt Daniel, Döllinger Michael, Eysholdt Ulrich, Yang Anxiong, Gürlek Ercan, Lohscheller Jörg
Department of Phoniatrics and Pediatric Audiology, University Hospital Erlangen, Bohlenplatz 21, D-91054 Erlangen, Germany.
J Acoust Soc Am. 2010 Nov;128(5):EL347-53. doi: 10.1121/1.3493637.
In this work a detection algorithm for mucosal wave propagation is presented. By incorporating physiological knowledge of mucosal wave properties and taking the segmented lateral movement of both vocal fold edges as a basis, the spatio-temporal position of the traveling mucosal wave is identified and quantitatively captured. The course of mucosal wave propagation can be successfully detected and analyzed with regard to discriminating different types of mucosal wave activity (in terms of spread velocity and symmetry). The preliminary results obtained for six exemplary laryngeal high-speed recordings are promising and demonstrate the potential of the proposed detection and objective description approach.
在这项工作中，提出了一种用于黏膜波传播的检测算法。通过纳入黏膜波特性的生理学知识，并以声带两侧边缘的分段横向运动为基础，确定并定量捕捉行进黏膜波的时空位置。就区分不同类型的黏膜波活动（根据传播速度和对称性）而言，可以成功检测和分析黏膜波的传播过程。从六个示例性喉部高速记录中获得的初步结果很有前景，并证明了所提出的检测和客观描述方法的潜力。
