A novel electromyographic signal simulator for muscle contraction studies.
Mathematical simulation has been widely used in biomedical and biological sciences. In the case of the surface electromyographic (SEMG) activity, some models have been proposed aiming to study muscle contraction strategies that are used during different tasks and conditions. Most of SEMG simulators are based on energy modulation of a Gaussian noise. This work proposes a novel simulator in which the user-defined parameters are associated with the motor units (MUs) recruitment and their firing rate. Comparison between the mean spectrum of real SEMG signals collected in isometric contraction of the muscle biceps brachii and the mean spectrum obtained from simulated SEMG signals showed a good agreement, pointing the proposed simulator seems to be capable to generate consistent electromyographic signals in time and frequency domains and that can be used in many studies, in particular in the evaluation of automatic methods aimed to detect muscular contraction.
Rosa
Igor da Guia
Ida G
Biomedical Engineering Program - COPPE, Federal University of Rio de Janeiro, Brazil.
Garcia
Marco Antonio Cavalcanti
MA
Souza
Marcio Nogueira de
MN
D003198:Computer Simulation; D004576:Electromyography / Q000295:instrumentation*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007537:Isometric Contraction / Q000502:physiology*; D008962:Models, Theoretical; D018482:Muscle, Skeletal / Q000502:physiology*; D011999:Recruitment, Neurophysiological / Q000502:physiology; D012106:Research; D015398:Signal Transduction; D013997:Time Factors