Chaos in Human Phonation and Its Measurement

描述（由申请人提供）：非线性可能是解释用于评估声音障碍不规则性的程序的核心。缺乏对非线性的理解可能有助于解释为什么许多传统的临床试验未能在临床中常规使用。更多的分叉和混乱的知识应该提高我们的理解和评估喉病理，我们的能力推荐适当的治疗。本文的重点是将混沌理论应用于正常和无序发声的研究。这项研究有三个相互关联的部分。在第一部分中，研究将集中在声带集总参数模型的混沌动力学和有限元分析（FEA）。我们将运用非线性动力学方法定量描述声带的不规则动力学，如不对称声带和声带息肉的情况。声门内的非线性压力-流动关系将与有限元分析相结合。声门下压力、声带张力、硬度、质量和发声前发音参数的影响将使用分岔图进行检查。混沌同步将用于提取声带混沌动力学模型中的生物力学参数。在第二部分中，不对称、声带息肉和脱水将以切除喉部为模型，并用非线性动态方法进行评估。定量分析了超音域发声（ARP）的不规则动力学，测量了发声不稳定压力（PI P）。研究声带张力、质量、刚度、声带不对称、声带息肉对PIP和ARP的影响，检验第一部分计算机模型的预测结果。将在高速视频上直接记录混乱的肌肉运动和声门区域。不规则的时空振动模式将被研究。在第三部分中，我们将利用声学信号、EGG和PGG的记录，分析声带小结和息肉、声带麻痹、喉癌和帕金森病患者数据的非线性动态特征。对治疗前后患者的声音进行比较。基于接收工作特征（ROC）分析，评估非线性动态参数在区分正常和病理声音方面的敏感性和特异性。

DESCRIPTION (provided by applicant): Nonlinearity may be central to the interpretation of procedures used to assess irregularity in voice disorders. Lack of understanding nonlinearity may help explain why many traditional clinical tests have failed to be used routinely in the clinic. Greater knowledge of bifurcation and chaos should enhance our understanding and assessment of laryngeal pathologies, and our ability to recommend appropriate treatment. This proposal focuses on applying chaos theory to the study of normal and disordered phonation. The study has three interrelated parts. In part I, research will focus on the chaotic dynamics of the lumped-parameter model of vocal folds and finite element analysis (FEA). Using nonlinear dynamic methods, we will quantitatively describe irregular dynamics of vocal folds, such as those in cases of asymmetric vocal folds and vocal polyps. FEA will be coupled with the nonlinear pressure-flow relation in the glottis. The effects of subglottal pressure, vocal fold tension, stiffness, mass, and vocal prephonatory parameters will be examined using a bifurcation diagram. Chaotic synchronization will be used to extract biomechanical parameters in the chaotic dynamic model of vocal folds. In part II, asymmetry, vocal polyps, and dehydration will be modeled with excised larynx and evaluated with nonlinear dynamic methods. The irregular dynamics of above range phonation (ARP) will be quantitatively addressed, and phonation instability pressure (PI P) will be measured. The effects of vocal fold tension, mass, stiffness, asymmetric vocal folds, and vocal polyps on PIP and ARP will be investigated to examine the predicted results obtained in the computer models of part I. Chaotic flesh movement and glottal area will be directly recorded on high-speed video. Irregular spatio-temporal vibratory patterns will be studied. In part III, using recordings of the acoustic signal, EGG, and PGG, we will analyze nonlinear dynamic characteristics of data obtained from patients with vocal nodules and polyps, vocal fold paralysis, laryngeal carcinoma, and Parkinson's disease. The patients' voices will be compared pre and post treatment. The sensitivity and specificity of nonlinear dynamic parameters in distinguishing normal from pathologic voices will be assessed based on the received operating characteristic (ROC) analysis.