Background. Muscle synergy analysis is an approach to understand the neurophysiological
mechanisms behind the hypothesized ability of the Central Nervous System (CNS) to reduce …

Recent advances in myoelectric controlled techniques have made the surface
electromyogram (sEMG)-based sensing armband a promising candidate for acquiring …

To control wearable robotic systems, it is critical to obtain a prediction of the user's motion
intent with high accuracy. Surface electromyography (sEMG) recordings have often been …

In the use of real-time myoelectric controlled prostheses, the low accuracy of the user's
intention estimation for simultaneous and proportional control (SPC) and the vulnerability to …

sEMG-based motion classification, traditionally applied for hand-gesture recognition (HGR)
in prosthetics, presents transformative potential in sports science. Its broader application …

Objective. Validating the ability for advanced prostheses to improve function beyond the
laboratory remains a critical step in enabling long-term benefits for prosthetic limb users …

An electromyogram (EMG) is a signal for muscle output that indicates the degree of muscle
contraction and relaxation. For these muscle signals to be output, certain signals must be …

Understanding the pattern of hand gesture on research which designs a prosthetic hand has
been popular subject in recent years. The hand gesture recognition relies heavily on the …

Motion classification with surface electromyog-raphy (sEMG) has been studied for practical
applications in prosthesis limb control and human-machine interaction. Recent studies have …

Surface electromyography (sEMG) measures electrical signals in muscles during
contraction. Its established applications include medical diagnostics, prosthetics, and …