Suppr超能文献

替代语音产生:使用生物力学模型量化 PE 段振动。

Substitute voice production: quantification of PE segment vibrations using a biomechanical model.

机构信息

Healthcare Sector and the Imaging & Therapy Division Magnetic Resonance, Siemens AG, 91052 Erlangen, Germany.

出版信息

IEEE Trans Biomed Eng. 2011 Oct;58(10):2767-76. doi: 10.1109/TBME.2011.2151860. Epub 2011 May 10.

Abstract

After total larynx excision due to laryngeal cancer, the tracheoesophageal substitute tissue vibrations at the intersection between the pharynx and the esophagus [pharyngoesophageal segment (PE segment)] serve as voice generator. The quality of the substitute voice significantly depends on the vibratory characteristics of the PE segment. For improving voice rehabilitation, the relationship between the PE dynamics and the resulting substitute voice quality is a matter of particular interest. Precondition for a comprehensive analysis of this relationship is an objective quantification of the PE vibrations. For quantification purposes, a method is proposed, which is based on the reproduction of the tissue vibrations by means of a biomechanical model of the PE segment. An optimization procedure for an automatic determination of appropriate model parameters is suggested to adapt the model dynamics to tissue movements extracted from high-speed (HS) videos. The applicability of the optimization procedure is evaluated with ten synthetic data sets. A mean error of 8.2% for the determination of previously defined model parameters was achieved as well as an overall stability of 7.1%. The application of the model to six HS recordings presented a mean correlation of the vibration patterns of 82%.

摘要

喉癌全喉切除术后,咽食管段(PE 段)的咽和食管交界处的气管食管替代组织的振动作为声源。替代声音的质量在很大程度上取决于 PE 段的振动特性。为了改善语音康复,PE 动力学与替代语音质量之间的关系是一个特别关注的问题。全面分析这种关系的前提是对 PE 振动进行客观量化。为此,提出了一种方法,该方法基于通过 PE 段的生物力学模型再现组织振动。建议使用自动确定适当模型参数的优化程序,使模型动力学适应从高速(HS)视频中提取的组织运动。该优化程序的适用性已通过十个合成数据集进行了评估。先前定义的模型参数的确定平均误差为 8.2%,整体稳定性为 7.1%。该模型在六次 HS 记录中的应用,振动模式的相关性平均为 82%。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验