Electromyography (EMG) is an integral part of many biomedical and healthcare applications.
It has been used as a metric for tracking rehabilitation progress and identifying diseases that …

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 …

In many gait applications, the focal events are the stance and swing phases. Although
detecting gait events using electromyography signals will help the development of assistive …

EMG signals have played a pivotal role as a fundamental component of myriad modern
prostheses to control prostheses' movements as well as identifying individual and combined …

Excessive psychological pressure, long working hours, and excessive labor intensity can
make people exhausted and affect people's cognition and motor function. Detecting the …

With the development of signal analysis technology and artificial intelligence, surface
electromyography (sEMG) signal gesture recognition is widely used in rehabilitation therapy …

Exposure to physical therapy in rehabilitation shows a major interest in recent years. Even
though the detection of gait events based on Electromyography (EMG) signals help the …

Continuous powder mixing offers many advantages over batch processes, but its industrial
implementation requires control of transient phases due to startup or variations in operating …

Accurate and real-time gesture recognition is required for the autonomous operation of
prosthetic hand devices. This study employs a convolutional neural network-enhanced …

The increasing number of individuals with limb loss worldwide highlights the need for
advancements in prosthetic knee technology. To improve control and quality of life …