@inproceedings{e9607ab78f2242818b3a28d986b8506f,
title = "Modeling of muscle atrophy and exercise induced hypertrophy",
abstract = "A better understanding of the time course of changes in muscle performance in response to spaceflight and exercise is required to maintain sufficient muscle function for long duration spaceflight. This paper presents a semi-empirical and dynamic muscle adaptation (atrophy and hypertrophy) model driven by a muscle activation profile that is directly related to muscle exercise intensity and exercise-rest cycles. The effect of muscle adaptation is described by two phenomenological parameters (s; τ), where s is related to the physiological limit of adaption and τ governs rate of adaptation. Both s and τ mathematically depend on the instantaneous muscle activation level (a). The model is calibrated against selected atrophy and hypertrophy experimental data. It was demonstrated that: (1) the model is capable to handle muscle atrophy and hypertrophy in a unified setting; (2) the model can be used for prediction of muscle atrophy during a 6-month spaceflight under two different exercise regimes.",
keywords = "Exercise, Muscle activation, Muscle atrophy, Muscle hypertrophy, Spaceflight",
author = "Xianlian Zhou and Roos, {Paulien E.} and Xinyu Chen",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017 ; Conference date: 17-07-2017 Through 21-07-2017",
year = "2018",
doi = "10.1007/978-3-319-60591-3_11",
language = "English (US)",
isbn = "9783319605906",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "116--127",
editor = "Cassenti, {Daniel N.}",
booktitle = "Advances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017",
address = "Germany",
}