Abstract
A real-time muscle fatigue monitoring system was developed to quantitatively detect the muscle fatigue of subjects during cycling movement, where a fatigue progression measure (FPM) was built-in. During the cycling movement, the electromyogram (EMG) signals of the vastus lateralis and gastrocnemius muscles in one leg as well as cycling speed are synchronously measured in a real-time fashion. In addition, the heart rate (HR) and the Borg rating of perceived exertion scale value are recorded per minute. Using the EMG signals, the electrical activity and median frequency (MF) are calculated per cycle. Moreover, the updated FPM, based on the percentage of reduced MF counts during cycling movement, is calculated to measure the onset time and the progressive process of muscle fatigue. To demonstrate the performance of our system, five young healthy subjects were recruited. Each subject was asked to maintain a fixed speed of 60 RPM, as best he/she could, under a constant load during the pedaling. When the speed reached 20 RPM or the HR reached the maximal training HR, the experiment was then terminated immediately. The experimental results show that the proposed system may provide an on-line fatigue monitoring and analysis for the lower extremity muscles during cycling movement.
Highlights
Some research has indicated that fatigue and decrease in muscle strength may serve as important indicators in frailty [1]
In order to evaluate the performance of the proposed system in actual practice, we built up the system and used it to collect the raw EMG data derived from VL and GAS muscles of the five healthy subjects during the bipedal cycling movement
A cycling-based system for real-time muscle fatigue monitoring and assessment was developed in this study
Summary
Some research has indicated that fatigue and decrease in muscle strength may serve as important indicators in frailty [1]. Both factors are considered as typical symptoms associated with patients with central nervous system damage [2,3,4,5,6]. Cycling based rhythmic contractions are similar to the control of walking since completion of these actions requires agonistic and antagonistic muscles to be alternately activated in coordination with a time sequence. Cycling-based movement is often used for walking training as well as the lower limb coordination training [11]
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