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本文引用的文献

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Model-Based Estimation of Individual Muscle Force Based on Measurements of Muscle Activity in Forearm Muscles During Isometric Tasks.基于等长任务中前臂肌肉肌电活动测量的个体肌肉力的模型估计。
IEEE Trans Biomed Eng. 2020 Jan;67(1):134-145. doi: 10.1109/TBME.2019.2909171. Epub 2019 Apr 3.
2
Gauging force by tapping tendons.通过敲击肌腱来测量力。
Nat Commun. 2018 Apr 23;9(1):1592. doi: 10.1038/s41467-018-03797-6.
3
Elastography for Muscle Biomechanics: Toward the Estimation of Individual Muscle Force.用于肌肉生物力学的弹性成像:迈向个体肌肉力量的估计
Exerc Sport Sci Rev. 2015 Jul;43(3):125-33. doi: 10.1249/JES.0000000000000049.
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Benchmarking of dynamic simulation predictions in two software platforms using an upper limb musculoskeletal model.使用上肢肌肉骨骼模型对两个软件平台中的动态模拟预测进行基准测试。
Comput Methods Biomech Biomed Engin. 2015;18(13):1445-58. doi: 10.1080/10255842.2014.916698. Epub 2014 Jul 4.
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Statistical mapping of the effect of knee extension on thigh muscle viscoelastic properties using magnetic resonance elastography.基于磁共振弹性成像的膝关节伸展对大腿肌肉黏弹特性影响的统计映射。
Physiol Meas. 2013 Dec;34(12):1675-98. doi: 10.1088/0967-3334/34/12/1675. Epub 2013 Nov 20.
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Validation of shear wave elastography in skeletal muscle.剪切波弹性成像在骨骼肌中的验证。
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A real-time system for biomechanical analysis of human movement and muscle function.人体运动和肌肉功能的生物力学分析实时系统。
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A Real-time EMG-driven Musculoskeletal Model of the Ankle.一种基于肌电图实时驱动的踝关节肌肉骨骼模型。
Multibody Syst Dyn. 2012 Aug;28(1-2):169-180. doi: 10.1007/s11044-011-9285-4. Epub 2011 Nov 23.
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EMG-driven forward-dynamic estimation of muscle force and joint moment about multiple degrees of freedom in the human lower extremity.人体下肢多自由度肌肉力和关节力矩的肌电驱动前向动力学估计。
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Multiresolution MR elastography using nonlinear inversion.基于非线性反演的多分辨率磁共振弹性成像技术
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MM-MRE:一种利用磁共振弹性成像技术在手腕等长任务期间量化个体肌肉力量的新技术。

MM-MRE: a new technique to quantify individual muscle forces during isometric tasks of the wrist using MR elastography.

作者信息

Zonnino Andrea, Smith Daniel R, Delgorio Peyton L, Johnson Curtis L, Sergi Fabrizio

出版信息

IEEE Int Conf Rehabil Robot. 2019 Jun;2019:270-275. doi: 10.1109/ICORR.2019.8779562.

DOI:10.1109/ICORR.2019.8779562
PMID:31374641
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7901716/
Abstract

Non-invasive in-vivo measurement of individual muscle force is limited by the infeasibility of placing force sensing elements in series with the musculo-tendon structures. While different methods based either on shear wave elastography or electromyography have been recently proposed to non-invasively estimate individual muscle forces, they can only be used to quantity forces in a limited set of superficial muscles. As such, they are not suitable to study the neuromuscular control of movements that require coordinated action of multiple muscles. In this work, we present multi-muscle magnetic resonance elastography (MM-MRE), a new technique capable of quantifying force for each muscle in the forearm, thus enabling the study of the neuromuscular control of wrist movements. To quantity individual muscle force, MM-MRE integrates measurements of joint torque provided by an MRI-compatible instrumented handle with muscle-specific measurements of shear wave speed obtained via MRE into a forward dynamic muscle force estimator based on a realistic musculoskeletal model of the forearm. A single-subject pilot experiment demonstrates the possibility of obtaining measurements from individual muscles and establishes that MM-MRE has sufficient sensitivity to detect changes in the muscle specific measurement of shear-wave speed following the application of isometric flexion and extension torques with self-selected intensity.

摘要

由于无法将力传感元件与肌腱结构串联放置,个体肌肉力量的非侵入性体内测量受到限制。虽然最近有人提出了基于剪切波弹性成像或肌电图的不同方法来非侵入性地估计个体肌肉力量,但它们只能用于测量有限的一组浅表肌肉中的力量。因此,它们不适用于研究需要多块肌肉协同作用的运动的神经肌肉控制。在这项工作中,我们提出了多肌肉磁共振弹性成像(MM-MRE),这是一种能够量化前臂各块肌肉力量的新技术,从而能够研究手腕运动的神经肌肉控制。为了量化个体肌肉力量,MM-MRE将由磁共振成像兼容的仪器化手柄提供的关节扭矩测量值与通过磁共振弹性成像获得的特定肌肉剪切波速度测量值整合到基于前臂真实肌肉骨骼模型的正向动态肌肉力量估计器中。一项单受试者初步实验证明了从个体肌肉获取测量值的可能性,并确定MM-MRE具有足够的灵敏度来检测在以自选强度施加等长屈伸扭矩后肌肉特定剪切波速度测量值的变化。