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言语过程中人类舌头的纤维应变分析。

Analysis of fiber strain in the human tongue during speech.

作者信息

Gomez Arnold D, Stone Maureen L, Woo Jonghye, Xing Fangxu, Prince Jerry L

机构信息

Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Department of Neural and Pain Sciences, University of Maryland, Baltimore, MD, USA.

出版信息

Comput Methods Biomech Biomed Engin. 2020 Jun;23(8):312-322. doi: 10.1080/10255842.2020.1722808. Epub 2020 Feb 7.

Abstract

This study investigates mechanical cooperation among tongue muscles. Five volunteers were imaged using tagged magnetic resonance imaging to quantify spatiotemporal kinematics while speaking. Waveforms of strain in the line of action of fibers (SLAF) were estimated by projecting strain tensors onto a model of fiber directionality. SLAF waveforms were temporally aligned to determine consistency across subjects and correlation across muscles. The cohort exhibited consistent patterns of SLAF, and muscular extension-contraction was correlated. Volume-preserving tongue movement in speech generation can be achieved through multiple paths, but the study reveals similarities in motion patterns and muscular action-despite anatomical (and other) dissimilarities.

摘要

本研究调查了舌肌之间的力学协作。使用标记磁共振成像对五名志愿者进行成像,以量化说话时的时空运动学。通过将应变张量投影到纤维方向性模型上,估计纤维作用线(SLAF)中的应变波形。对SLAF波形进行时间对齐,以确定受试者之间的一致性和肌肉之间的相关性。该队列表现出一致的SLAF模式,且肌肉伸展-收缩具有相关性。在语音生成中,保持体积不变的舌运动可以通过多种途径实现,但该研究揭示了运动模式和肌肉作用的相似性——尽管存在解剖学(以及其他方面)的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e949/8744002/91e4c9521fb4/nihms-1566912-f0001.jpg

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Analysis of fiber strain in the human tongue during speech.言语过程中人类舌头的纤维应变分析。
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本文引用的文献

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Quantifying Tensor Field Similarity With Global Distributions and Optimal Transport.利用全局分布和最优传输量化张量场相似性
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Laplace-based modeling of fiber orientation in the tongue.基于拉普拉斯的舌纤维方向建模。
Biomech Model Mechanobiol. 2018 Aug;17(4):1119-1130. doi: 10.1007/s10237-018-1018-7. Epub 2018 Apr 19.
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Subject-Specific Biomechanical Modelling of the Oropharynx: Towards Speech Production.口咽的特定个体生物力学建模:迈向言语产生
Comput Methods Biomech Biomed Eng Imaging Vis. 2017;5(6):416-426. doi: 10.1080/21681163.2015.1033756. Epub 2015 May 5.

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