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肌电图辅助生物力学颈椎模型:模型开发与验证。

An electromyography-assisted biomechanical cervical spine model: Model development and validation.

机构信息

Spine Research Institute, The Ohio State University, 520 Baker Systems, 1971 Neil Avenue, Columbus, OH 43210, USA.

Department of Neurological Surgery, The Ohio State University, Columbus, OH 43210, USA.

出版信息

Clin Biomech (Bristol). 2020 Dec;80:105169. doi: 10.1016/j.clinbiomech.2020.105169. Epub 2020 Sep 4.

Abstract

BACKGROUND

In spite of the prevalence of occupational neck disorders as a result of work force fluctuating from industry to sedentary office work, most cervical spine computational models are not capable of simulating occupational and daily living activities whereas majority of cervical spine models specialized to simulate crash and impact scenarios. Therefore, estimating spine tissue loads accurately to quantify the risk of neck disorders in occupational environments within those models is not possible due to the lack of muscle models, dynamic simulation and passive spine structures.

METHODS

In this effort the structure, logic, and validation process of an electromyography-assisted cervical biomechanical model that is capable of estimating neck loading under three-dimensional complex motions is described. The developed model was designed to simulate complex dynamic motions similar to work place exposure. Curved muscle geometry, personalized muscle force parameters, and separate passive and (electromyography-driven) active muscle force components are implemented in this model.

FINDINGS

Calibration algorithms were able to reverse-engineer personalized muscle properties to calculate active and passive muscle forces of each individual.

INTERPRETATION

This electromyography-assisted cervical spine model with curved muscle model is capable to accurately predict spinal tissue loads during isometric and dynamic head and neck activities. Personalized active and passive muscle force algorithms will help to more robustly investigate person-specific muscle forces and spinal tissue loads.

摘要

背景

尽管由于劳动力从工业向久坐的办公室工作波动,导致职业性颈部疾病普遍存在,但大多数颈椎计算模型都无法模拟职业和日常生活活动,而大多数专门用于模拟碰撞和冲击场景的颈椎模型也是如此。因此,由于缺乏肌肉模型、动态模拟和被动脊柱结构,无法在这些模型中准确估计脊柱组织的负荷,从而无法量化职业环境中颈部疾病的风险。

方法

本研究描述了一种肌电图辅助颈椎生物力学模型的结构、逻辑和验证过程,该模型能够在三维复杂运动下估计颈部的加载情况。所开发的模型旨在模拟类似于工作场所暴露的复杂动态运动。该模型中实现了弯曲的肌肉几何形状、个性化的肌肉力参数以及单独的被动和(肌电图驱动的)主动肌肉力分量。

发现

校准算法能够反向工程个性化的肌肉特性,以计算每个个体的主动和被动肌肉力。

解释

这种带有弯曲肌肉模型的肌电图辅助颈椎模型能够准确预测等长和动态头颈部活动期间的脊柱组织负荷。个性化的主动和被动肌肉力算法将有助于更稳健地研究特定个体的肌肉力和脊柱组织负荷。

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