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分析驾驶员在脚踏操作状态下下肢的肌肉骨骼生物力学。

Analysis of Musculoskeletal Biomechanics of Lower Limbs of Drivers in Pedal-Operation States.

机构信息

Department of Automotive Engineering, Hebei Jiaotong Vocational and Technical College, Shijiazhuang 050035, China.

Transportation College, Jilin University, Changchun 130022, China.

出版信息

Sensors (Basel). 2023 Nov 1;23(21):8897. doi: 10.3390/s23218897.

DOI:10.3390/s23218897
PMID:37960596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10649989/
Abstract

In this study, to establish the biomechanical characteristics of commercial vehicle drivers' muscles and bones while operating the three pedals, a driver pedal-operation simulator was built, and the real-life situation was reconstructed in OpenSim 3.3 software. We set up three seat heights to investigate the drivers' lower limbs, and the research proceeded in two parts: experiment and simulation. Chinese adult males in the 95th percentile were selected as the research participants. In the experiment, Delsys wireless surface electromyography (EMG) sensors were used to collect the EMG signals of the four main muscle groups of the lower limbs when the drivers operated the three pedals. Then, we analyzed the muscle activation and the degree of muscle fatigue. The simulation was based on OpenSim software to analyze the driver's lower limb joint angles and joint torque. The results show that the activation of the hamstrings, gastrocnemius, and rectus femoris muscles were higher in the four muscle groups. In respect of torque, in most cases, hip joint torque > knee joint torque > ankle joint torque. The knee joint angles were the largest, and the ankle joint angles changed the most. The experimental results provide a reference for improving drivers' handling comfort in commercial vehicles and provide theoretical bases for cab design and layout optimization.

摘要

在这项研究中,为了建立商用车辆驾驶员在操作三个踏板时的肌肉骨骼生物力学特征,我们构建了一个驾驶员踏板操作模拟器,并在 OpenSim 3.3 软件中重建了真实情况。我们设置了三个座椅高度来研究驾驶员的下肢,研究分为实验和模拟两部分。选择第 95 百分位的中国成年男性作为研究参与者。在实验中,我们使用 Delsys 无线表面肌电图 (EMG) 传感器来收集驾驶员操作三个踏板时下肢四个主要肌肉群的 EMG 信号。然后,我们分析了肌肉激活和肌肉疲劳程度。模拟基于 OpenSim 软件来分析驾驶员的下肢关节角度和关节扭矩。结果表明,在四个肌肉群中,腘绳肌、小腿三头肌和股四头肌的激活程度较高。在扭矩方面,在大多数情况下,髋关节扭矩>膝关节扭矩>踝关节扭矩。膝关节角度最大,踝关节角度变化最大。实验结果为提高商用车辆驾驶员的操控舒适性提供了参考,并为驾驶室设计和布局优化提供了理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1181/10649989/1440dfdb668e/sensors-23-08897-g015.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1181/10649989/48c6f17f2094/sensors-23-08897-g011.jpg
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Method for Using IMU-Based Experimental Motion Data in BVH Format for Musculoskeletal Simulations via OpenSim.使用基于惯性测量单元的实验运动数据在 OpenSim 中以 BVH 格式用于肌肉骨骼模拟的方法。
Sensors (Basel). 2023 Jun 8;23(12):5423. doi: 10.3390/s23125423.
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Prediction of Joint Angles Based on Human Lower Limb Surface Electromyography.基于人体下肢表面肌电预测关节角度。
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