A new simple dynamic muscle fatigue model and its validation
A new simple dynamic muscle fatigue model and its validation
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DOI：
10.1016/j.ergon.2008.04.004
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发表时间：
2009-01-01
影响因子：
3.1
通讯作者：
Zhang, Wei
中科院分区：
文献类型：
--
作者：
Ma, Liang;Chablat, Damien;Zhang, Wei
肌肉骨骼疾病（MSD）是与体力劳动有关的主要健康问题之一，特别是在需要体力劳动的工作中。在一些文献中，肌肉疲劳被认为与MSD密切相关，特别是对于肌肉相关疾病。除了现有的肌肉疲劳评估和MSD风险分析技术，本文提出了一种新的肌肉疲劳模型。新提出的模型反映了外部负荷，工作量的历史，和个体差异的影响。该模型数学简单，易于应用于真实的实时计算，如在真实的虚拟工作仿真与评估中的应用。通过比较计算的MET（最大续航时间），新模型与24个现有的静态模型进行了数学验证，并与三个现有的动态模型进行了定性或定量验证。所提出的模型与所有24个静态模型在预测MET方面显示出高度或中度相似性。三个动态模型的验证结果也很有希望。该模型的主要局限性是，它仍然缺乏更多的动态situation.Relevance工业实验验证：肌肉疲劳是导致MSD的主要原因之一，在工业中，特别是体力劳动。正确评估肌肉疲劳是必要的，以确定工作-休息方案，并降低MSD的风险。(c)2008 Elsevier B. V.保留所有权利。
Musculoskeletal disorder (MSD) is one of the major health problems that are related to physical labor especially in jobs requiring manual work. In some literature, muscle fatigue is considered to be closely related to MSD, especially for muscle related disorders. In addition to many existing analysis techniques for muscle fatigue assessment and MSD risk analysis, this paper proposes a new muscle fatigue model. The new proposed model reflects the influence of external load, workload history, and individual differences. This model is simple in mathematics and can be easily applied in real time calculation, such as the application in real time virtual work simulation and evaluation. The new model was mathematically validated with 24 existing static models by comparing the calculated METs (Maximum Endurance Times), and qualitatively or quantitatively validated with three existing dynamic models. The proposed model shows high or moderate similarities in predicting the METs with all the 24 static models. Validation results with the three dynamic models were also promising. The main limitation of the model is that it still lacks experimental validation for more dynamic situations.Relevance to industry: Muscle fatigue is one of the main reasons causing MSDs in industry, especially for physical work. Correct evaluation of muscle fatigue is necessary to determine work-rest regimens and reduce the risk of MSD. (c) 2008 Elsevier B.V. All rights reserved.