2002Sport Science and TechnologyRequires access

sEMG Signal Changes of the Biceps during Dynamic Isokinetic Voluntary Contractions

Jia Wang

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Abstract

The purpose of this study was to determine the sEMG signal characteristics of biceps during dynamic isokinetic voluntary contractions and to select a more effective sEMG indices for muscle functional level prediction .The results showed both iEMG and RMS did not significantly increased and had no relationship with endurance time; Both MPF and MF decreased significantly with only MPF had good relationship with endurance time; The slope of MPF had a significant negative relationship with total muscle work and therefore be regarded as a good predictor of dynamic muscle function.

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What this paper is about

The purpose of this study was to determine the sEMG signal characteristics of biceps during dynamic isokinetic voluntary contractions and to select a more effective sEMG indices for muscle functional level prediction .The results showed both iEMG and RMS did not significantly increased and had no relationship with endurance time; Both MPF and MF decreased significantly with only MPF had good relationship with endurance time; The slope of MPF had a significant negative relationship with total muscle work and therefore be regarded as a good predictor of dynamic muscle function.

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Available abstract

The purpose of this study was to determine the sEMG signal characteristics of biceps during dynamic isokinetic voluntary contractions and to select a more effective sEMG indices for muscle functional level prediction .The results showed both iEMG and RMS did not significantly increased and had no relationship with endurance time; Both MPF and MF decreased significantly with only MPF had good relationship with endurance time; The slope of MPF had a significant negative relationship with total muscle work and therefore be regarded as a good predictor of dynamic muscle function.

Key concepts: Biceps, Physical medicine and rehabilitation, Isokinetic Exercise, Electromyography, Medicine, Turnover, Management, Economics

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