Physiology & Measurement of Vocal Fold Vibration

描述(申请人提供)：本申请请求继续支持喉生理学、病理生理学和生物力学相关领域的研究发展。这项实验工作的长期目标是更好地了解正常发声和病理发声，并有助于开发有效、全面和无创的临床可行的发声生理表示和测量方法。第一个项目涉及通过在有限元分析(FEA)模型中定量操作声带张力和声门对称性等参数来模拟正常和病理发声条件；将模拟EGG和PGG输出以及内部应力。内心压力是一种有价值的测量方法，能够为创伤的产生和恶化提供有价值的洞察，以及防止声音误用。在第二个项目中，高速成像将测量切除的喉部的粘膜波动(包括幅度和相位差)。声带内收、外展和张力以及病理条件对粘膜波动的影响将被研究。第三个项目将进一步发展高速成像数据的时空分析。时间不稳定性和空间方差将使用空间相关性分析和全局熵来衡量。高速成像数据的时空分析将进一步应用于研究病理条件下声带的振动特征。我们将探讨粘膜波分析与时空分析之间的关系。第四个项目将基于高速视频中看到的声带表面动力学，检查声带内部应力的测量及其在正常和病理条件下的分布。第五个项目将设计一种方法来估计正常和病理条件下声带的生物力学参数。利用遗传算法(GA)从实验测量的时间序列，如高速成像、EGG、PGG和声学，我们可以估计由于声带病理引起的僵硬和质量变化。这项研究将产生直接从切除的喉部模型中获得的测量结果，然后可以与使用开发的非侵入性方法进行测量进行比较。这些结果将用于建立有效性和校准非侵入性测量。开发的方法可能成为声带疾病的一种非侵入性诊断方法。

DESCRIPTION (provided by applicant): This application requests support to continue development of research in the related fields of laryngeal physiology, pathophysiology, and biomechanics. The long-range goals of this experimental work are to understand better both normal and pathological phonation and to contribute to the development of valid, comprehensive and noninvasive clinically feasible methods of representing and measuring the physiology of phonation. The first project involves the simulation of normal and pathological phonation conditions by quantitatively manipulating parameters such as vocal fold tension and the symmetry of the glottis in the Finite Element Analysis (FEA) model; EGG and PGG output along with inner stress will be simulated. Inner stress is a valuable measurement capable of providing valuable insight into trauma generation and deterioration, as well as prevention of voice misuse. In the second project, high-speed imaging will measure mucosal wave motion (including amplitude and phase difference) in excised larynges. The effects of vocal fold adduction, abduction, and tension, as well as pathological conditions on mucosal wave motion will be investigated. The third project will further develop spatiotemporal analysis of high-speed imaging data. Temporal instability and spatial variance will be measured using spatial correlation analysis and global entropy. Spatiotemporal analysis of high-speed imaging data will be further applied to study vibratory characteristics of vocal folds under pathological conditions. The relationship between mucosal wave analysis and spatiotemporal analysis will be investigated. The fourth project will examine the measurement of vocal fold inner stress and its distribution in normal and pathological conditions based on the surface dynamics of the vocal fold seen in high-speed video. The fifth project will engineer a method to estimate biomechanical parameters of vocal folds in normal and pathological conditions. Utilizing Genetic Algorithm (GA) from the experimentally measured time series, such high-speed imaging, EGG, PGG, and acoustics, we can estimate both the stiffness and mass changes due to vocal fold pathology. This research will produce direct measurements taken from the excised larynx model, which can then be compared to measurements using developed non-invasive methodologies. These results will serve in both establishing validity and calibrating the noninvasive measurements. Developed methods could potentially serve as a non-invasive diagnostic approach for vocal fold disorders.