Literature DB >> 16179754

Modeling of muscle fatigue using Hill's model.

C Y Tang1, B Stojanovic, C P Tsui, M Kojic.   

Abstract

A new model incorporating muscle fatigue has been developed to predict the effect of muscle fatigue on the force-time relationship of skeletal muscle by using the PAK-program. Differential equations in the incremental form have been implemented into Hill's muscle model. In order to describe the effect of muscle fatigue and recovery on skeletal muscle behaviors, a set of equations in terms of three phenomenological parameters which are a fatigue curve under sustained maximal activation, a recovery curve and an endurance function were developed. With reference to existing models and experimental results, the input parameters for fatigue curve under sustained maximal activation and endurance function were determined. The model has been investigated under an isometric condition. The effects of different shapes of the recovery curves have also been considered in this model. Validation of the model has been performed by comparing the predicted results with the experimental data from an existing literature.

Entities:  

Mesh:

Year:  2005        PMID: 16179754

Source DB:  PubMed          Journal:  Biomed Mater Eng        ISSN: 0959-2989            Impact factor:   1.300


  3 in total

1.  Exhaustion of Skeletal Muscle Fibers Within Seconds: Incorporating Phosphate Kinetics Into a Hill-Type Model.

Authors:  Robert Rockenfeller; Michael Günther; Norman Stutzig; Daniel F B Haeufle; Tobias Siebert; Syn Schmitt; Kay Leichsenring; Markus Böl; Thomas Götz
Journal:  Front Physiol       Date:  2020-05-05       Impact factor: 4.566

2.  Predicting non-isometric fatigue induced by electrical stimulation pulse trains as a function of pulse duration.

Authors:  M Susan Marion; Anthony S Wexler; Maury L Hull
Journal:  J Neuroeng Rehabil       Date:  2013-02-02       Impact factor: 4.262

3.  Towards whole body fatigue assessment of human movement: a fatigue-tracking system based on combined sEMG and accelerometer signals.

Authors:  Haiwei Dong; Izaskun Ugalde; Nadia Figueroa; Abdulmotaleb El Saddik
Journal:  Sensors (Basel)       Date:  2014-01-27       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.