Özet
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.
| Tercüme edilen katkı başlığı | Determining phase duration of scanning EMG signals |
|---|---|
| Orijinal dil | Türkçe |
| Ana bilgisayar yayını başlığı | 2015 Medical Technologies National Conference, TIPTEKNO 2015 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Elektronik) | 9781467377652 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 6 Oca 2016 |
| Harici olarak yayınlandı | Evet |
| Etkinlik | Medical Technologies National Conference, TIPTEKNO 2015 - Bodrum, Türkiye Süre: 15 Eki 2015 → 18 Eki 2015 |
Yayın serisi
| Adı | 2015 Medical Technologies National Conference, TIPTEKNO 2015 |
|---|
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| ???event.eventtypes.event.conference??? | Medical Technologies National Conference, TIPTEKNO 2015 |
|---|---|
| Ülke/Bölge | Türkiye |
| Şehir | Bodrum |
| Periyot | 15/10/15 → 18/10/15 |
Bibliyografik not
Publisher Copyright:© 2015 IEEE.
Keywords
- Scanning EMG
- activity corridor
- autocorrelation function
- denoising
- neuromuscular diseases
- wavelet transform
Parmak izi
Taramali EMG Sinyallerinin Faz Süresinin Belirlenmesi' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.Alıntı Yap
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