Determining MUAP activity corridor in scanning EMG recordings

N. Tugrul Artug; Imran Goker; Bulent Bolat; M. Baris Baslo; Onur Osman

doi:10.1109/INISTA.2015.7276766

Determining MUAP activity corridor in scanning EMG recordings

N. Tugrul Artug, Imran Goker, Bulent Bolat, M. Baris Baslo, Onur Osman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In scanning EMG recordings there are more than one motor unit activity which is recorded by concentric needle electrode. Especially for determining features of a motor unit action potential (MUAP) such as phase duration and number of peaks easily, first the other motor unit activities must be discarded. In this study a new method is proposed to determine the activity corridor that related with the motor unit to be examined in scanning EMG recordings. This method is comprised of wavelet transform based noise reduction and autocorrelation function based location detection. Number of 34 scanning EMG recordings was tested by using this method and the activity corridors were determined correctly.

Original language	English
Title of host publication	INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467390965
DOIs	https://doi.org/10.1109/INISTA.2015.7276766
Publication status	Published - 24 Sept 2015
Externally published	Yes
Event	International Symposium on Innovations in Intelligent Systems and Applications, INISTA 2015 - Madrid, Spain Duration: 2 Aug 2015 → 4 Aug 2015

Publication series

Name	INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings

Conference

Conference	International Symposium on Innovations in Intelligent Systems and Applications, INISTA 2015
Country/Territory	Spain
City	Madrid
Period	2/08/15 → 4/08/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

activity corridor
autocorrelation function
neuromuscular diseases
Scanning EMG
wavelet transform

Access to Document

10.1109/INISTA.2015.7276766

Cite this

Tugrul Artug, N., Goker, I., Bolat, B., Baris Baslo, M., & Osman, O. (2015). Determining MUAP activity corridor in scanning EMG recordings. In INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings Article 7276766 (INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INISTA.2015.7276766

Tugrul Artug, N. ; Goker, Imran ; Bolat, Bulent et al. / Determining MUAP activity corridor in scanning EMG recordings. INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. (INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings).

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title = "Determining MUAP activity corridor in scanning EMG recordings",

abstract = "In scanning EMG recordings there are more than one motor unit activity which is recorded by concentric needle electrode. Especially for determining features of a motor unit action potential (MUAP) such as phase duration and number of peaks easily, first the other motor unit activities must be discarded. In this study a new method is proposed to determine the activity corridor that related with the motor unit to be examined in scanning EMG recordings. This method is comprised of wavelet transform based noise reduction and autocorrelation function based location detection. Number of 34 scanning EMG recordings was tested by using this method and the activity corridors were determined correctly.",

keywords = "activity corridor, autocorrelation function, neuromuscular diseases, Scanning EMG, wavelet transform",

author = "{Tugrul Artug}, N. and Imran Goker and Bulent Bolat and {Baris Baslo}, M. and Onur Osman",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; International Symposium on Innovations in Intelligent Systems and Applications, INISTA 2015 ; Conference date: 02-08-2015 Through 04-08-2015",

year = "2015",

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doi = "10.1109/INISTA.2015.7276766",

language = "English",

series = "INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings",

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Tugrul Artug, N, Goker, I, Bolat, B, Baris Baslo, M & Osman, O 2015, Determining MUAP activity corridor in scanning EMG recordings. in INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings., 7276766, INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings, Institute of Electrical and Electronics Engineers Inc., International Symposium on Innovations in Intelligent Systems and Applications, INISTA 2015, Madrid, Spain, 2/08/15. https://doi.org/10.1109/INISTA.2015.7276766

Determining MUAP activity corridor in scanning EMG recordings. / Tugrul Artug, N.; Goker, Imran; Bolat, Bulent et al.
INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. 7276766 (INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In scanning EMG recordings there are more than one motor unit activity which is recorded by concentric needle electrode. Especially for determining features of a motor unit action potential (MUAP) such as phase duration and number of peaks easily, first the other motor unit activities must be discarded. In this study a new method is proposed to determine the activity corridor that related with the motor unit to be examined in scanning EMG recordings. This method is comprised of wavelet transform based noise reduction and autocorrelation function based location detection. Number of 34 scanning EMG recordings was tested by using this method and the activity corridors were determined correctly.

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Tugrul Artug N, Goker I, Bolat B, Baris Baslo M, Osman O. Determining MUAP activity corridor in scanning EMG recordings. In INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. 7276766. (INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings). doi: 10.1109/INISTA.2015.7276766

Determining MUAP activity corridor in scanning EMG recordings

Abstract

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Keywords

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