Training to contract the abdominal muscles effectively and to relax the pelvic floor during defecation straining helps some patients with severe constipation. Hitherto all such training has used a visible or audible signal of sphincter muscle activity as a biofeedback method to assist in relaxation. A randomised controlled trial comparing the outcome of muscular training without any biofeedback...

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 (MUAPs) extracted from EMG signals during a muscular contraction. The identification and clustering of MUAPs that show similar features is most important for the definition of such cluster s...

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 ...

Abstract. A variational Bayesian formulation for a manifold-constrained Hidden Markov Model is used in this paper to segment a set of multivariate time series of electromyographic recordings corresponding to stroke patients and control subjects. An index of variability associated to this model is defined and applied to the robust detection of the silent period interval of the signal. The accura...

INTRODUCTION It has been investigated the mechanomyographic (MMG) signal may respond linear [1] or non-linear [3] relationship with force development Different relationship depends on contraction types, force levels, angular velocities and the muscles studied [1, 3]. Studies suggested that the MMG properties may also differentiate muscle fiber types [5]. The purpose of this study was to investi...

The electromyographic (EMG) signal is used to discriminate eight hand motions: power grasp, hook grasp, wrist flexion, lateral pinch, flattened hand, centralized grip, three-jaw chuck and cylindrical grasp. From the analysis of the PC-based control system, a three-channel EMG signal is used to distinguish eight hand motions for the short below elbow amputee. Pattern recognition is used in this ...

A brief review is provided of the use of the Square Wave Method (SWM) in the field of signal and image analysis and it is specified how results thus obtained are expressed using the Square Wave Transform (SWT), in the frequency domain. To illustrate the new approach introduced in this field, the results of two cases are analyzed: a) a sequence of samples (that is, measured values) of an electro...

A new electromyographic technique for the study of the motor unit is described. A modified single fibre EMG electrode is used. The electrical activity obtained by the electrode shaft during voluntary muscle contraction is averaged after triggering from a single muscle fibre action potential and the contribution from one motor unit is thus extracted. This "Macro EMG" signal gives information abo...