Application of Ensemble Averaging to the Analysis of Electromyography Recordings under Whole Body Vibratory Stimulation

The aim of this study is to evaluate the application of ensemble averaging to the analysis of electromyography recordings under whole body vibratory stimulation. Recordings from Rectus Femoris, collected during vibratory stimulation at different frequencies, are used. Each signal is subdivided in intervals, which time duration is related to the vibration frequency. Finally the average of the segmented intervals is performed. By using this method for the majority of the recordings the periodic components emerge. The autocorrelation of few seconds of signals confirms the presence of a pseudosinusoidal components strictly related to the soft tissues oscillations caused by the mechanical waves.

[1]  O Tsarpela,et al.  Adaptive responses of human skeletal muscle to vibration exposure. , 1999, Clinical physiology.

[2]  Maria Romano,et al.  Simulation of surface EMG for the analysis of muscle activity during whole body vibratory stimulation , 2014, Comput. Methods Programs Biomed..

[3]  Paolo Bifulco,et al.  Analysis of muscle motion during whole body vibration training , 2009 .

[4]  Maria Romano,et al.  Analysis and Modelling of Muscles Motion during Whole Body Vibration , 2010, EURASIP J. Adv. Signal Process..

[5]  Francesco Amato,et al.  A lumped parameter model for the analysis of the motion of the muscles of the lower limbs under whole-body vibration , 2013, 13th IEEE International Conference on BioInformatics and BioEngineering.

[6]  H. Hermens,et al.  European recommendations for surface electromyography: Results of the SENIAM Project , 1999 .

[7]  Paolo Bifulco,et al.  Neuromuscular response to whole body vibration treatment during static and dynamic squat exercises , 2012, 2012 IEEE International Symposium on Medical Measurements and Applications Proceedings.

[8]  Maria Romano,et al.  Comments on the article "rectification of SEMG as a tool to demonstrate synchronous motor unit activity during vibration". , 2013, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[9]  A. Fratini,et al.  The effect of whole body vibration on oxygen uptake and electromyographic signal of the rectus femoris muscle during static and dynamic squat , 2012 .

[10]  Maria Romano,et al.  Relevance of motion artifact in electromyography recordings during vibration treatment. , 2009, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[11]  A. Beardwell.  Electromyography , 1945 .

[12]  A. Fratini,et al.  Muscle motion and EMG activity in vibration treatment. , 2009, Medical engineering & physics.