In the case of difficult pattern recognition problems, the combination of the outputs of multiple classifiers using for input multiple feature sets extracted from the raw data, can improve the overall classification performance. In this work a modular neural network system in EMG diagnosis is presented where multiple features extracted from the motor unit action potential (MUAP) waveforms recor...

Traditionally, in clinical electromyography (EMG), neurophysiologists assess the state of the muscle by studying basic units of an EMG signal, which are referred to as motor unit action potentials (MUAPs). Information regarding themorphology and rate of occurrence ofMUAPs is often used for diagnosis of neuromuscular disorders. In addition, recent studies have shown that the analysis of the ener...

Electromyographic (EMG) signal provide a significant source of information for diagnosis, treatment and management of neuromuscular disorders.Neuromuscular diseases changes, the shape and characteristics of the motor unit action potentials (MUAPs). The MUAPs detected from myopathic patients are characterized by high frequency contents, low peak-to-peak amplitude and MUAPs neuropathic patients a...

As a consequence of a stroke, both motor control as well as motor unit (MU) characteristics may change, e.g. MU size has been reported to increase due to reinnervation [1]. The high selectivity of array surface electromyography enables the non-invasive investigation of motor unit action potentials (MUAPs). The aim of the present study was to investigate how differences between the affected an u...

A motor unit (MU), which consists of a single motoneuron (MN) and the muscle fibers it innervates, is an essential element of the motor control system. The knowledge in this field, collected over decades, is based on research conducted on both animal and human model systems. Experiments on animals allow direct measurement of the MN characteristics and the contractile properties of the muscle fi...

OBJECTIVE To ascertain the degree of agreement between a score for screening and another for diagnosis of motor development in 6-month old infants and to define the most appropriate cutoff point for screening. METHODS A sectional study, enrolling asymptomatic full term newborns with gestational ages from 37 to 41 weeks, who were discharged from the maternity unit 2 days after birth and are re...

This paper describes an interactive computer program for decomposing EMG signals into their component motor-unit potential (MUP) trains and for averaging MUP waveforms. The program is able to handle single- or multi-channel signals recorded by needle or fine-wire electrodes during low and moderate levels of muscular contraction. It includes advanced algorithms for template matching, resolving s...

Electromyographic (EMG) signal decomposition is the process of resolving an EMG signal into its constituent motor unit potential trains (MUPTs). The purpose of EMG signal decomposition is to provide an estimate of the firing pattern and motor unit potential (MUP) template of each active motor unit (MU) that contributed significant MUPs to the EMG signal. The extracted MU firing patterns, MUP te...