Application of ensemble averaging to the analysis of electromyography recordings under whole body vibratory stimulation

Antonio Fratini, Paolo Bifulco, Mario Cesarelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings - IEEE Symposium on Computer-Based Medical Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages543-546
Number of pages4
ISBN (Print)9781479944354
DOIs
Publication statusPublished - 2014
Event27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014 - New York, NY, United States
Duration: May 27 2014May 29 2014

Other

Other27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014
CountryUnited States
CityNew York, NY
Period5/27/145/29/14

Keywords

  • whole body vibration; electromyography; motion artifact; ensemble average

ASJC Scopus subject areas

  • Computer Science Applications
  • Radiology Nuclear Medicine and imaging

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    Fratini, A., Bifulco, P., & Cesarelli, M. (2014). Application of ensemble averaging to the analysis of electromyography recordings under whole body vibratory stimulation. In Proceedings - IEEE Symposium on Computer-Based Medical Systems (pp. 543-546). [6881966] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBMS.2014.143