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

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

1 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781467390965
DOI'lar	https://doi.org/10.1109/INISTA.2015.7276766
Yayın durumu	Yayınlandı - 24 Eyl 2015
Harici olarak yayınlandı	Evet
Etkinlik	International Symposium on Innovations in Intelligent Systems and Applications, INISTA 2015 - Madrid, Spain Süre: 2 Ağu 2015 → 4 Ağu 2015

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Symposium on Innovations in Intelligent Systems and Applications, INISTA 2015
Ülke/Bölge	Spain
Şehir	Madrid
Periyot	2/08/15 → 4/08/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

Belgeye Erişim

10.1109/INISTA.2015.7276766

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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 Makale 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).

@inproceedings{07b5521fdfaf42d992515d6521916996,

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 = "Scanning EMG, activity corridor, autocorrelation function, neuromuscular diseases, 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",

month = sep,

day = "24",

doi = "10.1109/INISTA.2015.7276766",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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

address = "United States",

}

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).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Determining MUAP activity corridor in scanning EMG recordings

AU - Tugrul Artug, N.

AU - Goker, Imran

AU - Bolat, Bulent

AU - Baris Baslo, M.

AU - Osman, Onur

PY - 2015/9/24

Y1 - 2015/9/24

N2 - 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.

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.

KW - Scanning EMG

KW - activity corridor

KW - autocorrelation function

KW - neuromuscular diseases

KW - wavelet transform

UR - https://www.scopus.com/pages/publications/84969179618

U2 - 10.1109/INISTA.2015.7276766

DO - 10.1109/INISTA.2015.7276766

M3 - Conference contribution

AN - SCOPUS:84969179618

T3 - INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - International Symposium on Innovations in Intelligent Systems and Applications, INISTA 2015

Y2 - 2 August 2015 through 4 August 2015

ER -

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

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Bibliyografik not

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