Jiang Jack J, Zhang Yu, McGilligan Clancy
Department of Surgery, Division of Otolaryngology Head and Neck Surgery, University of Wisconsin Medical School, Madison, WI 53792-7375, USA.
J Voice. 2006 Mar;20(1):2-17. doi: 10.1016/j.jvoice.2005.01.001. Epub 2005 Jun 20.
Chaos has been observed in turbulence, chemical reactions, nonlinear circuits, the solar system, biological populations, and seems to be an essential aspect of most physical systems. Chaos may also be central to the interpretation of irregularity in voice disorders. This presentation will summarize the results from a series of our recent studies. These studies have demonstrated the prescence of chaos in computer models of vocal folds, experiments with excised larynges, and human voices. Methods based on nonlinear dynamics can be used to quantify chaos and irregularity in vocal fold vibration. Studies have suggested that disordered voices from laryngeal pathologies such as laryngeal paralysis, vocal polyps, and vocal nodules might exhibit chaotic behaviors. Conventional parameters, such as jitter and shimmer, may be unreliable for analysis of periodic and chaotic voice signals. Nonlinear dynamic methods, however, have differentiated between normal and pathological phonations and can describe the aperiodic or chaotic voice. Chaos theory and nonlinear dynamics can enchance our understanding and therefore our assessment of pathological phonation.
在湍流、化学反应、非线性电路、太阳系、生物种群中都观察到了混沌现象,而且混沌似乎是大多数物理系统的一个基本特征。混沌也可能是解释嗓音疾病中不规则现象的核心。本报告将总结我们最近一系列研究的结果。这些研究已经证明在声带的计算机模型、离体喉部实验以及人类嗓音中存在混沌现象。基于非线性动力学的方法可用于量化声带振动中的混沌和不规则性。研究表明,来自诸如喉麻痹、声带息肉和声带小结等喉部病变的紊乱嗓音可能表现出混沌行为。传统参数,如抖动和闪烁,对于分析周期性和混沌嗓音信号可能不可靠。然而,非线性动力学方法已经区分了正常发声和病理性发声,并且能够描述非周期性或混沌嗓音。混沌理论和非线性动力学可以增进我们对病理性发声的理解,从而改进我们对它的评估。