ORCID "TR40789" Mühendislik ve Mimarlık Fakültesi için listeleme
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Classification of juvenile myoclonic epilepsy data acquired through scanning electromyography with machine learning algorithms
Göker, İmran; Osman, Onur; Özekes, Serhat; Baslo, Mehmet Barış; Ertaş, Mustafa; Ülgen, Yekta (Springer, 2012)In this paper, classification of Juvenile Myoclonic Epilepsy (JME) patients and healthy volunteers included into Normal Control (NC) groups was established using Feed-Forward Neural Networks (NN), Support Vector Machines ... -
Detection and conditioning of EMG
Göker, İmran (IGI-Global Publications, 2014)In this chapter, the monitoring of the electrical activity of skeletal muscles is depicted. The main components of the detection and conditioning of the EMG signals is explained in the sense of the biomedical instrumentation. ... -
The effect of recording site on extracted features of motor unit action potential
Artuğ, N. Tuğrul; Göker, İmran; Bolat, Bülent; Osman, Onur; Kocasoy Orhan, Elif; Baslo, M. Barış (Elsevier, 2016)Motor unit action potential (MUAP), which consists of individual muscle fiber action potentials (MFAPs), represents the electrical activity of the motor unit. The values of the MUAP features are changed by denervation and ... -
Feature Extraction and Classification of Neuromuscular Diseases Using Scanning EMG
Artuğ, Necdet Tuğrul; Bolat, Bülent; Osman, Onur; Göker, İmran; Tulum, Gökalp; Baslo, Mehmet Barış (IEEE, 2014)In this study a new dataset are prepared for neuromuscular diseases using scanning EMG method and four new features are extracted. These features are maximum amplitude, phase duration at the maximum amplitude, maximum ...