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 language | English |
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| Title of host publication | Proceedings - IEEE Symposium on Computer-Based Medical Systems |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 543-546 |
| Number of pages | 4 |
| ISBN (Print) | 9781479944354 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014 - New York, NY, United States Duration: May 27 2014 → May 29 2014 |
Other
| Other | 27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014 |
|---|---|
| Country/Territory | United States |
| City | New York, NY |
| Period | 5/27/14 → 5/29/14 |
Keywords
- whole body vibration; electromyography; motion artifact; ensemble average
ASJC Scopus subject areas
- Computer Science Applications
- Radiology Nuclear Medicine and imaging