Abstract In medical treatment, it can be necessary to know the position of a motor unit in muscle. Recent advances high-density surface Electromyography (EMG) measurement have opened possibility extracting information about single units. We present mathematical approach identify these On base an electrostatic forward model, we introduce adjoint efficiently simulate EMG and optimal control show ba...

Este artículo presenta la integración de señales electromiográficas (EMG) y una interfaz cerebro-computadora (BCI) basada en electroencefalográficas (EEG) un diseño domótico asistencia. La EMG utiliza señal miográfica extraída del tibial anterior dos secciones: músculo activo reposo. BCI el potencial visual evocado estado estable (SSVEP) generado respuesta a cuadros parpadeantes. Se empleó méto...

Surface electromyogram pattern recognition (EMG-PR) has been considered as a promising approach for predicting amputees’ motion intentions to control myoelectric prostheses. However, EMG recordings are mostly contaminated by various interferences, which decay the prediction of EMG-PR methods, thus affecting performance prosthesis. One common way solve this issue is improve quality signals via f...

Zebrafish models have recently been highlighted as a valuable tool in studying the molecular basis of neuromuscular diseases and developing new pharmacological treatments. Needle electromyography (EMG) is needed not only for validating transgenic zebrafish models with muscular dystrophies (MD), but also for assessing the efficacy of therapeutics. However, performing needle EMG on larval zebrafi...

Although mean amplitude and ON-OFF timing of muscle recruitment and electromyography (EMG) activation during gait is achieved by an age of six to eight years in normally developing children, recruitment dynamics illustrated by the shape of the EMG waveform may require continued developmental practice to achieve a stable pattern. Previous analyses have quantified the repeatability of the EMG wav...

MUNDUS is an assistive framework for recovering interaction capability of severely impaired people based on upper limb motor functions. Within this project, the present work aimed at integrating a commercial passive exoskeleton for weight support with an EMG-controlled neuroprosthesis for hand-to-mouth movements. Being the stimulated muscle the same from which the EMG was measured, first it was...

Intelligent garments can be used for monitoring body movements and also for monitoring vital functions, including heart rate and electrical muscle activity. In this paper we describe electromyographic (EMG) monitoring with textile-integrated electrodes. The aim was to clarify the usability and reliability of these EMG electrodes for different measurements. This study is part of the project call...

Assistive robotic technology can play a major role to improve the quality of life of the physically weak people such as aged, injured, disabled or handicapped. Many assistive devices have been developed according to the needs of such individuals. Especially, upper-limb power-assist exoskeletons have been able to draw attention, as the upper limb motions are very important for the daily activiti...