A new simple dynamic muscle fatigue model and its validation
Institut de Recherche en Communications et en Cybernetique de Nantes, UMR CNRS 6597, Ecole Centrale de Nantes（南特通信与网络研究所，法国国家科学研究中心联合研究单位6597，南特中央理工大学）；Department of Industrial Engineering, Tsinghua University（清华大学工业工程系）
Liang Ma, Damien Chablat, Fouad Bennis, Wei Zhang
备注：
arXiv admin note: substantial text overlap with arXiv:0901.0222
发表信息：
International Journal of Industrial Ergonomics, Elsevier, 2009, 39 (1), pp.211-220
Musculoskeletal disorder (MSD) is one of the major health problems in physical work especially in manual handling jobs. In several literatures, 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, in this paper, a new muscle fatigue model was proposed. 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 realtime calculation, such as the application in realtime virtual work simulation and evaluation. The new model was mathematically validated with 24 existing static models by comparing the calculated METs, and qualitatively or quantitatively validated with 3 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 risks of MSD.
Determination of subject-specific muscle fatigue rates under static fatiguing operations
Tsinghua University（清华大学）；Institut de Recherche en Communications et en Cybernétique de Nantes（南特通信与控制论研究所）；École Centrale de Nantes（南特中央理工学院）；EADS Innovation Works（EADS创新工厂）
A novel approach for determining fatigue resistances of different muscle groups in static cases
Tsinghua University（清华大学）；École Centrale de Nantes（南特中央理工学院）；Institut de Recherche en Communications et en Cybernétique de Nantes（南特通信与控制研究所）；EADS Innovation Works（欧洲宇航防务集团创新中心）
The interplay of fatigue dynamics and task achievement using optimal control predictive simulation
Laboratoire de Simulation et Modélisation du Mouvement（运动仿真与建模实验室）；École de kinésiologie et des Sciences de l’Activité Physique（运动机能学与体育活动科学学院）；Université de Montréal（蒙特利尔大学）；Centre de réadaptation Marie-Enfant（玛丽-昂方康复中心）；CHU Sainte-Justine（圣贾斯汀大学医疗中心）
