Background Electromyography (EMG) is a classical technique used to record electrical
activity associated with muscle contraction and is widely applied in Biomechanics …

Wearable technology has gained increasing popularity in the applications of healthcare,
sports science, and biomedical engineering in recent years. Because of its convenient …

In this article, we evaluated the variations of the brain and muscle activations while subjects
are exposed to different perturbations to walking and standing balance. Since EEG and …

Objective The present study aims to simulate an alarm system for online detecting normal
electrocardiogram (ECG) signals from abnormal ECG so that an individual's heart condition …

Researchers commonly use myoelectric signals to study the electrical activity produced by
skeletal muscles for the control of prosthetic arms, hands and limb replacement devices …

Electromyography (EMG) signals are commonly used by researchers to study kinesiology,
which can then be used to control prosthetic arms, hands and limbs [1]. Additionally, EMG …

This study aimed to investigate the fatiguing characteristics of muscle-tendon units (MTUs)
within skeletal muscles during static isometric contraction tasks. The deltoid was selected as …

This paper presents a model in which time and frequency domain data are pre-extracted
from electromyographic (EMG) signals and used as input to a Convolutional Neural Network …

The consequence of spinal cord injury (SCI) is the malfunction of some parts of the body.
This observation especially applies to trauma at the cervical level, because both patients' …