Physiology & Measurement of Vocal Fold Vibration

描述（由申请人提供）：本申请要求支持继续发展喉生理学、病理生理学和生物力学相关领域的研究。这项实验工作的长期目标是更好地了解正常和病理发声，并有助于发展有效的，全面的和非侵入性的临床可行的方法，代表和测量发声的生理。第一个项目涉及通过在有限元分析（FEA）模型中定量操纵参数（如声带张力和声门对称性）来模拟正常和病理发声条件; EGG和PGG输出沿着以及内应力将被模拟。内部压力是一个有价值的测量，能够提供有价值的洞察创伤的产生和恶化，以及防止声音误用。在第二个项目中，高速成像将测量切除喉中的粘膜波运动（包括振幅和相位差）。声带内收，外展，和张力，以及病理条件对粘膜波运动的影响将被调查。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球熵进行测量。高速图像的时空分析将进一步应用于病理条件下声带振动特性的研究。将研究粘膜波分析和时空分析之间的关系。第四个项目将根据高速视频中看到的声带表面动力学，研究声带内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声带在正常和病理条件下的生物力学参数。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的刚度和质量的变化。这项研究将产生从切除的喉模型，然后可以比较使用开发的非侵入性方法的测量直接测量。这些结果将有助于建立有效性和校准非侵入性测量。所开发的方法可能作为声带疾病的非侵入性诊断方法。

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.