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...

Objectives: To assess the diagnostic and prognostic role of electromyography (EMG) of the external anal sphincter and pelvic floor muscles in children born with anorectal anomalies. Also, we tried to assess the role of electric stimulation to the sphincter muscles when applied pre and/or postoperatively in the control of fecal incontinence in those children. Methods: Eighty children with congen...

Metabolic rates can increase 21 times above resting levels during cycling with the majority attributed to muscular contractions. Metabolic estimates attained through gas exchange parameters are limited by the respiration rate and time delay with respect to these contractions. In contrast surface electromyography (EMG) contains instantaneous muscle contraction information at higher temporal reso...

Background The paucity of easy-to-use, reliable objective neuromuscular monitors is an obstacle to universal adoption routine monitoring. Electromyography (EMG) has been proposed as the optimal monitoring technology since it addresses several acceleromyography limitations. This clinical study compared simultaneous responses recorded from induction block until recovery using acceleromyography-ba...