Upper limb amputation is a condition that significantly restricts the amputees from performing
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …

The increasing amount of data in electromyographic (EMG) signal research has greatly
increased the importance of developing advanced data analysis and machine learning …

Specialized myoelectric sensors have been used in prosthetics for decades, but, with recent
advancements in wearable sensors, wireless communication and embedded technologies …

Electromyogram (EMG) signals have been increasingly used for hand and finger gesture
recognition. However, most studies have focused on the wrist and whole-hand gestures and …

We investigate the problem of achieving robust control of hand prostheses by the
electromyogram (EMG) of transradial amputees in the presence of variable force levels, as …

Hands are two of the most crucial organs and they play major role for human activities.
Therefore, amputee people experience many difficulties in daily life. To overcome these …

The classification of surface electromyography (sEMG) signal has an important usage in the
man-machine interfaces for proper controlling of prosthetic devices with multiple degrees of …

A bionic hand with fine motor ability could be a favorable option for replacing the human
hand when performing various operations. Myoelectric control has been widely used to …

The performance of intelligent electromyogram (EMG)-driven prostheses, functioning as
artificial alternatives to missing limbs, is influenced by several dynamic factors including …

Extraction of potential electromyography (EMG) features has become one of the important
roles in EMG pattern recognition. In this paper, two EMG features, namely, enhanced …