Future direction of the electromyography based method to evaluate muscle fatigue

Jamaluddin, Fauzani N.; Ahmad, Siti Anom; Noor, Samsul Bahari Mohd; Hassan, Wan Zuha Wan

doi:10.1109/ice2t.2014.7006269

Cited by 3 publications

(1 citation statement)

References 42 publications

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“…Surface EMG (sEMG) has been used to monitor muscular fatigue during exercises because of its non-invasive nature [ 28 , 55 ]. Changes in the EMG signals associated with fatigue are mean power frequency (MPF) and EMG amplitude [ 28 ].…”

Section: Discussionmentioning

confidence: 99%

The Effects of Inter-Set Recovery Time on Explosive Power, Electromyography Activity, and Tissue Oxygenation during Plyometric Training

Guan

Lin

Yang

et al. 2021

Sensors

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Performing continuous sets to failure is fatiguing during the plyometric training. Cluster sets have been used to redistribute total rest time to create short frequent sets so that muscle fatigue can be avoided. The purpose of the study was to investigate the effects of inter-set recovery time on lower extremity explosive power, neuromuscular activity, and tissue oxygenation during plyometric exercise and recovery. An integrated assessment of explosive power, muscle electrical activity, and tissue oxygenation was adopted in the present study to help understand local muscle metabolism and fatigue during plyometric exercise and recovery. Ten university male basketball players participated in this study. Subjects performed 4 groups of exercise, each group comprised of 3 sets of jumps: 1, 2, 3, or 5 min. Surface electromyography (sEMG) signals were collected from 9 lower extremity muscles; near-infrared spectroscopy (NIRS) was recorded on vastus lateralis; mechanical data during plyometric exercise were collected from a force plate. No significant differences among sets and among groups were found regarding explosive power, jump height, EMG intensity, mean power frequency, the rate of tissue saturation index, and HbO2 changes between baseline and recovery. The current study has shown no muscular fatigue induced during the 4 groups of exercise. The results of this study may help inform recommendations concerning the recovery time during plyometric exercises at low loads (30% 1 RM).

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Section: Discussionmentioning

confidence: 99%

The Effects of Inter-Set Recovery Time on Explosive Power, Electromyography Activity, and Tissue Oxygenation during Plyometric Training

Guan

Lin

Yang

et al. 2021

Sensors

View full text Add to dashboard Cite

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Surface Electromyography: A New Indicator of Fatigue Level

Jamaluddin

Ibrahim

Ahmad

2022

6th Kuala Lumpur International Conference on Biomedical Engineering 2021

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Emg Recording of Wrist Gestures Under Non-Ideal Electrode Placement for Machine Control in a Manufacturing Environment

Hashim

Jamaludin

et al. 2015

Jurnal Teknologi

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The use of electromyography (EMG) for machine control in a manufacturing environment is challenging due to the inherent electrical noise, and also because machine operators lack anatomy knowledge of muscle location for electrode placement. In this research, an electrode placement scheme is proposed for this user group. An EMG preamp was constructed to observe EMG patterns in lower forearm when electrodes placed by untrained operators are in less optimal locations. Crosstalk was found to be a major issue when electrodes are placed in imperfect locations. The EMG preamplifier was deliberately constructed with low cost components to simulate the increased floor noise due to electrical interferences f however from the results, the resulting SNR is acceptable. This study shows that in designing a practical EMG input system, electrode placement is a bigger factor compared to electrical interference.

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Future direction of the electromyography based method to evaluate muscle fatigue

Cited by 3 publications

References 42 publications

The Effects of Inter-Set Recovery Time on Explosive Power, Electromyography Activity, and Tissue Oxygenation during Plyometric Training

The Effects of Inter-Set Recovery Time on Explosive Power, Electromyography Activity, and Tissue Oxygenation during Plyometric Training

Surface Electromyography: A New Indicator of Fatigue Level

Emg Recording of Wrist Gestures Under Non-Ideal Electrode Placement for Machine Control in a Manufacturing Environment

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