Abstract
There are more than one motor unit activities recorded simultaneously during scanning EMG recordings. It is not possible to determine the phase duration correctly by inspecting only one sweep. The other motor unit activities, which are out of interest, should be filtered for this purpose. In this study, a new method is developed by revealing the activity corridor of scanning EMG recordings, wavelet transform based noise reduction, autocorrelation function based signal cutting location detection, and alpha trim filtering are applied to the recorded signals for determining phase duration correctly. Data are recorded from normal people and neuromuscular diseased people. Dataset contains 20 scanning EMG recordings.
Translated title of the contribution | Determining phase duration of scanning EMG signals |
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Original language | Turkish |
Title of host publication | 2015 Medical Technologies National Conference, TIPTEKNO 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781467377652 |
DOIs | |
Publication status | Published - 6 Jan 2016 |
Externally published | Yes |
Event | Medical Technologies National Conference, TIPTEKNO 2015 - Bodrum, Turkey Duration: 15 Oct 2015 → 18 Oct 2015 |
Publication series
Name | 2015 Medical Technologies National Conference, TIPTEKNO 2015 |
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Conference
Conference | Medical Technologies National Conference, TIPTEKNO 2015 |
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Country/Territory | Turkey |
City | Bodrum |
Period | 15/10/15 → 18/10/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.