A new simple dynamic muscle fatigue model and its validation

TL;DR

This paper introduces a new simple dynamic muscle fatigue model that accounts for external load, workload history, and individual differences, validated against existing models and suitable for real-time applications to reduce MSD risks.

Contribution

A novel, mathematically simple dynamic muscle fatigue model that can be applied in real-time and validated against existing static and dynamic models.

Findings

High similarity with static models in predicting METs

Promising validation with dynamic models

Potential for real-time muscle fatigue assessment

Abstract

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.