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发声障碍的不正常的程序的核心。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测试未能在临床上常规使用。更多关于分叉和混沌的知识应该会增强我们对喉部病理的理解和评估，以及我们推荐适当治疗的能力。这项建议侧重于将混沌理论应用于正常发声和无序发声的研究。这项研究包括三个相互关联的部分。第一部分主要研究声带集中参数模型的混沌动力学和有限元分析。利用非线性动力学方法，我们将定量描述声带的不规则动力学，例如不对称声带和声带息肉的情况。有限元分析将与声门内的非线性压力-流量关系相耦合。声门下压力、声带张力、僵硬、质量和发声前音参数的影响将用分叉图来检验。在建立的声带混沌动力学模型中，采用混沌同步的方法提取生物力学参数。在第二部分中，不对称、声带息肉和脱水将用切除的喉部建模，并用非线性动力学方法进行评估。定量地解决了超音程发声(ARP)的不规则动力学问题，并测量了发声不稳定压力(PI P)。将研究声带张力、质量、僵硬、不对称声带和声带息肉对PIP和ARP的影响，以检验在第一部分的计算机模型中获得的预测结果。混乱的肌肉运动和声门区将被直接记录在高速视频上。我们将研究不规则的时空振动模式。在第三部分中，我们将利用声学信号、EGG和PGG的记录，分析来自声带小结和息肉、声带瘫痪、喉癌和帕金森病患者的数据的非线性动力学特征。患者的声音将在治疗前后进行比较。基于接收到的工作特征(ROC)分析，将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.