This paper presents a developed tool capable of decomposing electromyographic signals (EMG) named EMG Decomposition. The main aim of this software is to extract and to visualize motor unit action potentials extracted from EMG signals during a muscular contraction. The results obtained from the tool have application in the study of the behavior of the central nervous system and in the diagnosis ...

Introduction: Application of biofeedback techniques in rehabilitation has turned into an exciting research area during the recent decade. Providing an appropriate visual or auditory biofeedback signal is the most critical requirement of a biofeedback technique. In this regard, changes in Surface Electromyography (SEMG) signals during wrist movement can be used to generate an indictable visual b...

Background: Electromyographic (EMG) signals obtained from a contracted muscle contain valuable information on its activity and health status. Much of this information lies in motor unit potentials (MUPs) of its motor units (MUs), collected during the muscle contraction. Hence, accurate estimation of a MUP template for each MU is crucial. Objective: To investigate the possibility of improv...

4.35k1.86 15.48f3.21 Abstract Previous research showed that whitening the surface electromyogram (EMC) can improve EMG amplitude estimation. However, conventional linear-filter whitening fails at low EMG amplitude levels, perhaps due to additive background noise in the measured EMG signal. This paper describes an adaptive whitening technique, effective at low EMG levels, that cascades a non-ada...

This study present electromyographic (EMG) signal to torque model and investigates the effects of various factors on EMG signal and EMG to torque model. Pre-processing techniques are applied on EMG signal in order to remove the DC offset, 60 Hz noise and to estimate the EMG amplitude. The estimated EMG amplitude is then mapped to joint torque using a new non-linear equation. This equation uses ...

There are numerous scenarios in which it would be preferred or necessary to manipulate the screen cursor of a computer’s graphic user interface (GUI). Some specialized operators, such as pilots or surgeons may need to interact with computer-based equipment while their hands are committed to tasks with higher priorities. For individuals with severe motor disabilities, who may not be able to perf...

Background: Muscle fatigue is an important issue in neuromuscular rehabilitation. Better control of this phenomenon would result in better prevention of its consequent physiological damages.Objective: To provide a mathematical representation of muscle fatigue as a function of time.Methods: We conducted this study by combining the EMG-based estimation methods of muscle activation with the availa...

The detection of the electrical signal from human and animal muscle dates from long before L. Galvani who took credit for it. J. Swammerdam had already shown the Duke of Tuscany in 1658 the mechanics of muscular contraction. Even if 'electrology or localised electrisation' - the original terminology for electromyography (EMG) - contained the oldest biological scientific detection and measuring ...

An important aspect of mechanical ventilation is the recognition and quantification spontaneous respiratory effort. However, a measurement flows pressures often used for this purpose prone to error. A promising alternative detect diaphragmatic contractions, directly. method recently proposed acquire diaphragm electromyography (EMG) signals using surface electrodes. limited by disturbances elect...

Electromyographic (EMG) signals play a key role in many clinical and biomedical applications. They can be used for identifying patients with muscular disabilities, assessing lower-back pain, kinesiology and motor control. There are three common applications of the EMG signal: (1) to determine the activation timing of the muscle; (2) to estimate the force produced by the muscle and (3) to analyz...