A motor unit-based model of muscle fatigue

نویسندگان

  • Jim R. Potvin
  • Andrew J. Fuglevand
چکیده

Muscle fatigue is a temporary decline in the force and power capacity of skeletal muscle resulting from muscle activity. Because control of muscle is realized at the level of the motor unit (MU), it seems important to consider the physiological properties of motor units when attempting to understand and predict muscle fatigue. Therefore, we developed a phenomenological model of motor unit fatigue as a tractable means to predict muscle fatigue for a variety of tasks and to illustrate the individual contractile responses of MUs whose collective action determines the trajectory of changes in muscle force capacity during prolonged activity. An existing MU population model was used to simulate MU firing rates and isometric muscle forces and, to that model, we added fatigue-related changes in MU force, contraction time, and firing rate associated with sustained voluntary contractions. The model accurately estimated endurance times for sustained isometric contractions across a wide range of target levels. In addition, simulations were run for situations that have little experimental precedent to demonstrate the potential utility of the model to predict motor unit fatigue for more complicated, real-world applications. Moreover, the model provided insight into the complex orchestration of MU force contributions during fatigue, that would be unattainable with current experimental approaches.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Physiologically Based, Multi-Scale Model of Skeletal Muscle Structure and Function

Models of skeletal muscle can be classified as phenomenological or biophysical. Phenomenological models predict the muscle's response to a specified input based on experimental measurements. Prominent phenomenological models are the Hill-type muscle models, which have been incorporated into rigid-body modeling frameworks, and three-dimensional continuum-mechanical models. Biophysically based mo...

متن کامل

JEPonline Relative Contributions of Central and Peripheral Factors in Human Muscle Fatigue during Exercise: A Brief Review

Shei R-J, Mickleborough TD. Relative Contributions of Central and Peripheral Factors in Human Muscle Fatigue during Exercise: A Brief Review. JEPonline 2013;16(6):1-17. Exercise performance is limited by fatigue, which is characterized as central or peripheral depending on whether it develops proximal or distal to the neuromuscular junction. Both models account for detriments in the ability of ...

متن کامل

ارزیابی کنترل حرکت به‌دنبال خستگی عضلات تنار با استفاده از شاخص قرینگی

Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal" mso-tsty...

متن کامل

Motor Unit Number Estimation in Normal and Parkinsonism Model of Medial Gastrocnemius Muscle in Rats

    Motor units (MUs) reflect the function of the central nervous motor system. Thus, the estimated MU number is a good option to investigate the functional movement disorder in the Parkinson’s disease (PD). The purpose of this study was to compare the estimated MUs number in the medial gastrocnemius (MG) muscle of the normal rats and those with the Parkinsonism. The MG muscle of two age-matche...

متن کامل

Rate Modulation of the Human Anconeus Muscle During High-Intensity Dynamic Fatigue of the Elbow Extensor Muscle Group

.............................................................................................................................. ii Acknowledgments .............................................................................................................. iii Table of Contents ................................................................................................................ v Lis...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 13  شماره 

صفحات  -

تاریخ انتشار 2017