El número de trabajos relacionados con Interfaces Cerebro-Computador (BCI, Brain-
Computer Interface en inglés) directamente aplicados al proceso de rehabilitación de …

A system is presented for emulate a mouse from the movement of the head and eyelids. The
position of the head is used for controlling the horizontal and vertical displacement of the …

Deep learning (DL) has been used for electromyographic (EMG) signal recognition and
achieved high accuracy for multiple classification tasks. However, implementation in …

This paper presents the design and implementation of a novel technique for the recognition
of four hand motions for real time response (flexion (FL), extension (EX), opening (OP) and …

The objective of this work is to develop an embedded Artificial Neural Network (ANN) for the
identification in real-time of the electromyography signal patterns (EMG). This system is …

This paper presents the design and synthesis of a digital electromyographic signal
processor applying dedicated processing methods and pattern recognition for the …

This paper presents the design and synthesis of a perceptron as an pattern recognition
model for its implementation for digital electromyographic signal processing for the …

A lo largo de la historia de la fabricación de prótesis, el ser humano ha desarrollado
dispositivos capaces de sustituir o reemplazar a una extremidad ya sea superior o inferior …

Introducción: este artículo presenta la predicción de tres tipos de movimientos básicos de la
mano mediante un algoritmo inteligente para extraer características imprescindibles para el …

Electromyography signals are commonly used to control prosthetic or orthotic devices. The
electrodes attached to the skin capture the muscular activity coming from neuromotor …