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Analysis on the effect of stimulator parameters in electrical stimulation procedure on the human bicep muscle
Amelia Wong Azman1, Jannatul Naeem2, Yasir Mohd Mustafah3, Saforazuridi Mohamad4, Sheroz Khan5, Zahirul Alam, A.H.M6, Hadi Habaebi7.
While electrical stimulation has proven to produce positive outcome among patients,
electrical stimulation in post stroke rehabilitation faced one main limitation – muscle fatigue.
Muscle fatigue limits the training time, hence, affecting the recovery process. This work
analyzes the occurrence of muscle fatigue with respect to the different stimulator
parameters; amplitude, pulse shape and frequency. The detection of muscle fatigue will be
monitored as force where the force sensitive resistor (FSR) sensors are used to detect the
variations of the force exerted by the muscle. In this work, it is assumed that the fatigue in
muscle will happen when the force recorded reduces to 60% from its initial force over the
stimulation period. The experiment results proof that the stimulator parameters, amplitude,
pulse shape and frequency, have different effect to the upper limb muscle with respect to
muscle fatigue. The results also show that the exponential waveform can be considered in
future rehabilitation program since the onset of muscle fatigue is delayed later in the
experiment when compared to the other signals. This allows extended training duration
among stroke patients to benefit from the recovery window time frame especially for
patients who are still in their early recovering stage.
Affiliation:
- International Islamic University Malaysia, Malaysia
- International Islamic University Malaysia, Malaysia
- International Islamic University Malaysia, Malaysia
- International Islamic University Malaysia, Malaysia
- International Islamic University Malaysia, Malaysia
- International Islamic University Malaysia, Malaysia
- International Islamic University Malaysia, Malaysia
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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6 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
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CiteScore (1.4) |
Rank |
Q3 (Engineering (all)) |
Additional Information |
SJR (0.191) |
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