Title :
Application of Ensemble Averaging to the Analysis of Electromyography Recordings under Whole Body Vibratory Stimulation
Author :
Fratini, A. ; Bifulco, P. ; Cesarelli, M.
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol., Univ. of Naples Federico II, Naples, Italy
Abstract :
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.
Keywords :
electromyography; learning (artificial intelligence); medical signal processing; patient rehabilitation; electromyography recordings analysis; ensemble averaging; mechanical waves; pseudosinusoidal components; rectus femoris; soft tissue oscillations; vibration frequency; whole body vibratory stimulation; Computer hacking; Correlation; Electrodes; Electromyography; Muscles; Skin; Vibrations; whole body vibration; electromyography; motion artifact; ensemble average;
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on
Conference_Location :
New York, NY
DOI :
10.1109/CBMS.2014.143
