A new simple dynamic muscle fatigue model and its validation

01/04/2022
by   Liang Ma, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/25/2020

A novel discrete grey seasonal model and its applications

In order to accurately describe real systems with seasonal disturbances,...
research
09/28/2020

Parameter Experimental Analysis of the Reservoirs Observers using Echo State Network Approach

Dynamical systems has a variety of applications for the new information ...
research
06/30/2017

Fairer and more accurate, but for whom?

Complex statistical machine learning models are increasingly being used ...
research
03/20/2022

Neuro-physical dynamic load modeling using differentiable parametric optimization

In this work, we investigate a data-driven approach for obtaining a redu...
research
06/12/2023

Validation of a Bayesian Learning Model to Predict the Risk for Cannabis Use Disorder

Background: Cannabis use disorder (CUD) is a growing public health probl...

Please sign up or login with your details

Forgot password? Click here to reset