Electromyography (EMG) is gaining importance in many research and clinical applications,
including muscle fatigue detection, control of robotic mechanisms and prostheses, clinical …

This paper presents a literature review on pattern recognition of electromyography (EMG)
signals and its applications. The EMG technology is introduced and the most relevant …

Background Modern biomedical amplifiers have a very high common mode rejection ratio.
Nevertheless, recordings are often contaminated by residual power-line interference …

Electromyography (EMG) has been explored as an HCI input modality following a long
history of success for prosthesis control. While EMG has the potential to address a range of …

Electromyography gives an electrical representation of neuromuscular activation associated
with a contracting muscle. The electromyography signal acquires noise while travelling …

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

In the present study, the chaos is detected and quantified in the electromyographic (EMG)
signal of the biceps muscle using nonlinear features. Biological systems are complex and …

Low frequency oscillations such as alpha (8–12 Hz) are hypothesized to rhythmically gate
sensory processing, reflected by 40–100 Hz gamma band activity, via the mechanism of …

Interference from power lines (50 or 60 Hz) is the largest source of extraneous noise in many
bio-electric signals and is within the bandwidth of many such signals. In this study, two …

This study investigated the effects of back muscle fatigue on the estimation of low-back loads
and active low-back moments during lifting, using an EMG and kinematics based model …