Emg Signal Classification Using Fuzzy Logic

Osman ULKIR; Gokhan GOKMEN; Erkan KAPLANOGLU

doi:https://doi.org/10.17694/bajece.337941

Makale detayları

Emg Signal Classification Using Fuzzy Logic

Yazarlar:

Osman ULKIR | Gokhan GOKMEN | Erkan KAPLANOGLU

Yayıncı:

Balkan Yayın

Dergi:

Balkan Journal of Electrical and Computer Engineering 2017 Vol.5 Issue 2, pp.97-101

Belge Tipi:

Makale

Yayın Tarihi:

8/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000927509

Sıklık:

Üç Aylık

pISSN:

2147-284X

DOI:

https://doi.org/10.17694/bajece.337941

Özet:

 


Electromyography
(EMG) signals are an important technique in the control applications of
prostatic hand. These signals, which are measured from the skin surface, are used
to perform movements such as wrist flexion / extension, forearm supination /
pronation and hand opening / closing of prosthetic devices. In this study, root
mean square, waveform length and kurtosis methods were applied to extracted EMG
signals from flexor carpi radialis and extensor carpi radialis muscles by using
two channel surface electrodes. A fuzzy logic based classification method has
been applied to classify the extracted signal features. With this method,
classification for different gripping movements has been successfully
accomplished.   

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Makale detayları

Emg Signal Classification Using Fuzzy Logic

Yazarlar: Osman ULKIR | Gokhan GOKMEN | Erkan KAPLANOGLU

Yayıncı: Balkan Yayın

Dergi: Balkan Journal of Electrical and Computer Engineering 2017 Vol.5 Issue 2, pp.97-101

Belge Tipi: Makale

Yayın Tarihi: 8/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000927509

Sıklık: Üç Aylık

pISSN: 2147-284X

DOI: https://doi.org/10.17694/bajece.337941

Sayı

Yazarlar:

Osman ULKIR | Gokhan GOKMEN | Erkan KAPLANOGLU

Yayıncı:

Balkan Yayın

Dergi:

Balkan Journal of Electrical and Computer Engineering 2017 Vol.5 Issue 2, pp.97-101

Belge Tipi:

Makale

Yayın Tarihi:

8/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000927509

Sıklık:

Üç Aylık

pISSN:

2147-284X

DOI:

https://doi.org/10.17694/bajece.337941