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...

PURPOSE The function of the brachioradialis muscle is controversial. The objective of this study was to determine primary and secondary functions of the brachioradialis under various loading tasks as measured by EMG. METHODS Ten healthy individuals (9 men, 1 woman; average age, 34 years +/- 10; average height, 175 cm +/- 7; average weight, 76 kg +/- 13) performed elbow flexion with the forear...

OBJECTIVE Electromyography (EMG) is used routinely to diagnose neuromuscular dysfunction in a wide range of peripheral neuropathies, myopathies, and neuromuscular degenerative diseases including motor neuron diseases such as amyotrophic lateral sclerosis (ALS). Definitive neurological diagnosis may also be indicated by the analysis of pathological neuromuscular innervation in motor-point biopsi...

INTRODUCTION Extended manual wheelchair use has been associated with repetitive strain injuries in the shoulder and has been identified as a contributing factor to upper limb pain experienced by manual wheelchair users with spinal cord injury (SCI) [1]. Due to the nature of their SCI, individuals with tetraplegia (formerly quadriplegia) may be at an even greater risk for developing shoulder inj...

The contributions of nervous system muscle activation and muscle atrophy to poststroke weakness have not been evaluated together in the same subject. Maximal voluntary contraction (MVC) torque, voluntary activation (twitch interpolation), and electromyographic (EMG) amplitude were determined bilaterally in the plantar flexors of seven chronic stroke survivors (40-63 yr, 24-51 mo poststroke). Vo...

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...