Chaos in Human Phonation and Its Measurement

人类发声的混沌及其测量

• 批准号: 7204195
• 负责人: Jack J Jiang
• 金额: $ 31.19万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-06-01 至 2009-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7204195
• 关键词: Acoustics; Address; Affect; Animals; Area; Biomechanics; Chaos Theory; Characteristics; Clinic; Clinical; Clinical assessments; Computer Simulation; Computers; Condition; Coupled; Data; Dehydration; Dimensions; Dysphonia; Entropy; Evaluation; Finite Element Analysis; Fractals; Functional disorder; Goals; Human; Knowledge; Laryngeal Paralysis; Larynx; Measurement; Measures; Methods; Modeling; Movement; Nodule; Nonlinear Dynamics; Parkinson Disease; Pathologic; Pathology; Patients; Pattern; Phase; Phonation; Physiological; Physiology; Polyps; Procedures; Range; Receiver Operating Characteristics; Request for Applications; Research; Sensitivity and Specificity; Signal Transduction; Simulate; Speed; Support of Research; Testing; Theoretical Studies; Time; Voice; Voice Disorders; base; digital imaging; glottis; human subject; improved; interest; larynx Carcinoma; pressure; reconstruction; vibration; vocal cord

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.

描述（由申请人提供）：非线性可能是解释用于评估嗓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测试未能在临床上常规使用。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变，我们的能力，建议适当的治疗。该建议的重点是将混沌理论应用于正常和无序发声的研究。本研究报告有三个相互关联的部分。在第一部分中，研究将集中在声带的集总参数模型和有限元分析（FEA）的混沌动力学。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中的非线性压力-流量关系相耦合。声门下压、声带张力、刚度、质量和发声前参数的影响将使用分叉图进行检查。将混沌同步用于声带混沌动力学模型的生物力学参数提取。在第二部分中，将使用切除的喉来建模不对称、声带息肉和脱水，并使用非线性动力学方法进行评估。将定量地讨论上述范围发声（阿普）的不规则动力学，并测量发声不稳定压力（PIP）。声带张力、质量、刚度、不对称声带和声带息肉对PIP和阿普的影响将被研究，以检验第一部分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直接记录在高速视频上。将研究不规则的时空振动模式。在第三部分中，使用录音的声学信号，EGG，和PGG，我们将分析从声带小结和息肉，声带麻痹，喉癌，帕金森氏病患者获得的数据的非线性动力学特性。患者的声音将在治疗前后进行比较。将基于接收的操作特征（ROC）分析来评估非线性动态参数在区分正常声音与病理声音中的灵敏度和特异性。