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开发一种用于评估全喉切除术后非平稳咽喉食管组织振动的时间相关数值模型。

Development of a time-dependent numerical model for the assessment of non-stationary pharyngoesophageal tissue vibrations after total laryngectomy.

作者信息

Hüttner Björn, Luegmair Georg, Patel Rita R, Ziethe Anke, Eysholdt Ulrich, Bohr Christopher, Sebova Irina, Semmler Marion, Döllinger Michael

机构信息

Department of Phoniatrics and Pediatric Audiology, Medical School, University Hospital Erlangen, Bohlenplatz 21, 91054 , Erlangen, Germany,

出版信息

Biomech Model Mechanobiol. 2015 Jan;14(1):169-84. doi: 10.1007/s10237-014-0597-1. Epub 2014 May 27.

DOI:10.1007/s10237-014-0597-1
PMID:24861998
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7323877/
Abstract

Laryngeal cancer due to, e.g., extensive smoking and/or alcohol consumption can necessitate the excision of the entire larynx. After such a total laryngectomy, the voice generating structures are lost and with that the quality of life of the concerning patients is drastically reduced. However, the vibrations of the remaining tissue in the so called pharyngoesophageal (PE) segment can be applied as alternative sound generator. Tissue, scar, and geometric aspects of the PE-segment determine the postoperative substitute voice characteristic, being highly important for the future live of the patient. So far, PE-dynamics are simulated by a biomechanical model which is restricted to stationary vibrations, i.e., variations in pitch and amplitude cannot be handled. In order to investigate the dynamical range of PE-vibrations, knowledge about the temporal processes during substitute voice production is of crucial interest. Thus, time-dependent model parameters are suggested in order to quantify non-stationary PE-vibrations and drawing conclusions on the temporal characteristics of tissue stiffness, oscillating mass, pressure, and geometric distributions within the PE-segment. To adapt the numerical model to the PE-vibrations, an automatic, block-based optimization procedure is applied, comprising a combined global and local optimization approach. The suggested optimization procedure is validated with 75 synthetic data sets, simulating non-stationary oscillations of differently shaped PE-segments. The application to four high-speed recordings is shown and discussed. The correlation between model and PE-dynamics is ≥ 97%.

摘要

例如,由于大量吸烟和/或酗酒导致的喉癌可能需要切除整个喉部。在进行这种全喉切除术后,发声结构丧失,相关患者的生活质量大幅下降。然而,所谓的咽食管(PE)段中剩余组织的振动可以用作替代发声器。PE段的组织、瘢痕和几何形状决定了术后替代声音的特征,这对患者的未来生活非常重要。到目前为止,PE动力学是通过一个生物力学模型来模拟的,该模型仅限于稳态振动,即音高和振幅的变化无法处理。为了研究PE振动的动态范围,了解替代声音产生过程中的时间过程至关重要。因此,建议使用随时间变化的模型参数来量化非稳态PE振动,并得出关于PE段内组织刚度、振荡质量、压力和几何分布的时间特征的结论。为了使数值模型适应PE振动,应用了一种基于块的自动优化程序,该程序包括全局和局部优化相结合的方法。所建议的优化程序用75个合成数据集进行了验证,模拟了不同形状PE段的非稳态振荡。展示并讨论了该程序在四个高速记录上的应用。模型与PE动力学之间的相关性≥97%。

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本文引用的文献

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Three-dimensional biomechanical properties of human vocal folds: parameter optimization of a numerical model to match in vitro dynamics.人声声带的三维生物力学特性:数值模型的参数优化以匹配体外动态学。
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Relation between the dimensions and intraluminal pressure of the pharyngoesophageal segment and tracheoesophageal voice and speech proficiency.咽食管段的尺寸和管腔内压力与气管食管发声和言语流利度的关系。
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Computation of physiological human vocal fold parameters by mathematical optimization of a biomechanical model.通过生物力学模型的数学优化计算生理人声带参数。
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Substitute voice production: quantification of PE segment vibrations using a biomechanical model.替代语音产生:使用生物力学模型量化 PE 段振动。
IEEE Trans Biomed Eng. 2011 Oct;58(10):2767-76. doi: 10.1109/TBME.2011.2151860. Epub 2011 May 10.
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Botulinum toxin type A: an effective treatment to restore phonation in laryngectomized patients unable to voice.A型肉毒毒素:一种有效的治疗方法,可恢复无法发声的喉切除患者的发声功能。
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Optical reconstruction of high-speed surface dynamics in an uncontrollable environment.在不可控环境中高速表面动力学的光学重建。
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Survival after laryngectomy: a review of 133 patients with laryngeal carcinoma.喉切除术患者的生存状况:133 例喉癌患者的回顾性研究。
Eur Arch Otorhinolaryngol. 2010 Jul;267(7):1095-101. doi: 10.1007/s00405-009-1156-8. Epub 2009 Nov 18.
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Application of automatic speech recognition to quantitative assessment of tracheoesophageal speech with different signal quality.自动语音识别在不同信号质量下对食管气管语音进行定量评估中的应用。
Folia Phoniatr Logop. 2009;61(1):12-7. doi: 10.1159/000187620. Epub 2008 Dec 20.
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