This study aimed to assess the utility of peak counting in dynamic muscle contractions.
Surface electromyography (sEMG) data were collected from three quadriceps femoris …

In this paper, we propose a simplified pipeline system for hand gesture pattern recognition.
This system is based on surface electromyography of the upper forearm, obtained from a …

High accuracy and fast computation time are essential in implementing hand gesture pattern
recognition for prosthetic hand using electromyography (EMG) signal. However, several …

The number of deaths worldwide caused by COVID-19 continues to increase and the
variants of the virus whose process we do not yet master are aggravating this situation. To …

The choice of using speech to control the exoskeleton is based on the number of
exoskeletons that are controlled using the EMG signal, where the EMG signal itself has the …

In order to improve the human-machine interface design and monitor the operational
performance, hand behavior detection and analysis are very important. However, there is a …

The effective operation of surface electromyography (sEMG) signal-based controlled active
prostheses and human-machine interaction systems in daily life is crucial to work with high …

Fatigue prediction is part of the muscle endurance analysis, which is normally based on
expert experience and guided by muscle signal chart such as surface electromyography …

The wireless body sensor network (WBSN) is an emerging technology in the healthcare
domain, which collects data from vital parameters of the patient's body, using small portable …

The electromyography (EMG) signal is a type of biomedical signal that captures the
electrical currents produced by muscles during contraction, reflecting neuromuscular activity …