Rectification of surface EMG before spectral analysis is a well-established preprocessing method used in the detection of motor unit firing patterns. A number of recent studies have called into question the need for rectification before spectral analysis, pointing out that there is no supporting experimental evidence to justify rectification. We present an analysis of 190 records from 13 subjec...

how to cite this article: nilipor y, shariatmadari f, abdollah gorji f, rouzrokh m, ghofrani m, karimzadeh p, taghdiri mm,  delavarkasmaei h, ahmadabadi f, bakhshandeh bali mk, nemati h, saket s, jafari n, yaghini o, tonekaboni sh.  evaluation of one hundred pediatric muscle biopsies during a 2-year period in mofid children and toos hospitals. iran j child neurol. 2013 spring;7(2):17-21.   obje...

Background Fatigue is an important factor for muscle strengthening in rehabilitation medicine. Frequency analysis has been regarded as the gold standard fatigue assessment surface electromyography (EMG). However, there are no experiments quantifying with grouped discharge (GD), which one of historical phenomena observed patients having fatigue, by using high sampling rate recording EMG. Objecti...

Head orientation prediction is one of the solutions to reduce end-to-end latency on Virtual Reality (VR) systems and important since it can alleviate negative effects like motion sickness. This study compared head models from two different electromyography (EMG) systems: surface EMG (sEMG) High-Density (HD-EMG). The deep learning method was used train model, results showed that model with input...

As a part of EMG-net project, researchers at the Slovak University of Technology developed a software tool for collection and management of electromyography (EMG) examination cases called EMMA. They concentrated on data representation, which is a crucial task in such data intensive area as the EMG examination. The proposed data model serves as a basis for a multifunctional platform for EMG stud...

The electromyogram (EMG) signal contains lots of information about muscular changes related muscular disorder such as myopathy. In this paper, we present a new method for classification of EMG signals based on singular value decomposition. The EMG signal represent in the matrix form, features extracted from the singular value decomposition and singular value of EMG signal used as features for c...

Hand movement classification based on Electromyo-graphy (EMG) signals has been extensively investigated in the past decades as a promising approach used for controlling upper prosthetics or robotics. Topological data analysis is relatively new and increasingly popular tool science that uses mathematical techniques from topology to analyze understand complex sets. This paper proposes method clas...

To test whether electromyogram (EMG) is nonlinear deterministic signal or just random noise, we comprehensively analyze four EMGs of an adult woman. At first, we calculate the correlation time, L-Z complexity, approximate entropy (ApEn), maximum Lyapunov exponent (Ly1) and correlation dimension (Dcorr) of each EMG data and its ten surrogate data. We find that all the results are quite different...

Muscle forces can be selected from a space of muscle recruitment strategies that produce stable motion and variable muscle and joint forces. However, current optimization methods provide only a single muscle recruitment strategy. We modelled the spectrum of muscle recruitment strategies while walking. The equilibrium equations at the joints, muscle constraints, static optimization solutions and...