Browsing Mühendislik Fakültesi by Author "Köklükaya, Etem"

Now showing items 21-32 of 40

Investigation of the relationship between anxiety and heart rate variability in fibromyalgia: A new quantitative approach to evaluate anxiety level in fibromyalgia syndrome

Suleyman Bilgin; Arslan, Evren; Onur Elmas; Sedat Yildiz; Omer H. Colak; Gurkan Bilgin; Hasan Rifat Koyuncuoglu; Selami Akkus; Selcuk Comlekci; Köklükaya, Etem (PERGAMON-ELSEVIER SCIENCE LTD, 2015)

Conclusion: Doctor-rated or self-rated anxiety tests should be supported with quantitative and more objective methods. Our results show that the HRV parameters will be able to support the anxiety tests in the clinical ...
Lecture Notes in Computer Science

Köklükaya, Etem (SPRINGER-VERLAG BERLIN, 2005)

This paper proposes a new controller based on neural network and fuzzy logic technologies for load frequency control to allow for the incorporation of both heuristics and deep knowledge to exploit the best characteristics ...
Measuring the Sympathetic Skin Response on Body and Using as Diagnosis-Purposed for Lung Cancer Patients by Artificial Neural Networks

Köklükaya, Etem; Özkan, Özhan; Yıldız, Murat (SPRINGER, 2010)

In this study, the points of Sympathetic skin response that can be measured from different zones on body of healthy and patient subjects are determined. The Sympathetic skin responses on these points are obtained using a ...
Neural Network Classification of EEG Signals by Using AR with MLE Preprocessing for Epileptic Seizure Dedection

Köklükaya, Etem (2005)
Optimization of resistive loading of EMI/EMC near field probe

Köklükaya, Etem (ELSEVIER SCIENCE BV, 2004)

Near field studies must be carried out to insulate printed circuit boards and other circuits entirely from outer space. It can be achieved by utilizing the screen properly. These studies must always be made in the near ...
Performance improvement of dynamic buffered ATM switch

Köklükaya, Etem (PERGAMON-ELSEVIER SCIENCE LTD, 2005)

Performance of ATM networks depends on switch performance and architecture. This paper presents a simulation study of a new dynamic allocation of input buffer space in ATM switching elements. The switching elements are ...
Physiological parameters as a tool in the diagnosis of fibromyalgia syndrome in females: A preliminary study

Onur Elmas; Sedat Yildiz; Suleyman Bilgin; Seden Demirci; Selcuk Comlekci; Hasan Rifat Koyuncuoglu; Selami Akkus; Omer Halil Colak; Köklükaya, Etem; Arslan, Evren; Özkan, Özhan; Gurkan Bilgin (PERGAMON-ELSEVIER SCIENCE LTD, 2016)

Significance: Changes in hormonal factors, peripheral blood circulation, autonomous systemactivity disorders, inflammatory incidents, etc., may explain the increased TEMP in the FM patients. The high PLT level may signify ...
Rule based fuzzy logic approach for classification of fibromyalgia syndrome

Arslan, Evren; Sedat Yildiz; Yalcin Albayrak; Köklükaya, Etem (SPRINGER, 2016)

Fibromyalgia syndrome (FMS) is a chronic muscle and skeletal system disease observed generally in women, manifesting itself with a widespread pain and impairing the individual's quality of life. FMS diagnosis is made based ...
The Correlation of Laboratory Tests and Sympathetic Skin Response Parameters by Using Artificial Neural Networks in Fibromyalgia Patients

Özkan, Özhan; Yıldız, Murat; Köklükaya, Etem (SPRINGER, 2012)

Fibromyalgia syndrome (FMS) is a chronic musculoskeletal disease which causes dysfunction of the autonomic nervous system. Sympathetic Skin Response (SSR) is a part of electrical impedance of body which is affected by the ...
Utilizing Photophlethysmography Signal Features and Implementing a Decision Tree to Determine Sleep Cycles-Non Sleep Cycles

Bozkurt, Ferda; Bozkurt, Mehmet Recep; Uçar, Muhammed Kürşad; Bilgin, Cahit; Köklükaya, Etem (IEEE, 2016)

Due to the intolerable diagnosis procedures of Obstructive sleep apnea syndrome, there are studies conducted for a more tolerable procedure that would comfort the patients. In our study, we used photoplethysmography signal, ...
Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing

Köklükaya, Etem (PERGAMON-ELSEVIER SCIENCE LTD, 2005)

Since EEG is one of the most important sources of information in therapy of epilepsy, several researchers tried to address the issue of decision support for such a data. In this paper, we introduce two fundamentally different ...
Weak signal propagation through noisy feedforward neuronal networks

Köklükaya, Etem (LIPPINCOTT WILLIAMS & WILKINS, 2010)

We determine under which conditions the propagation of weak periodic signals through a feedforward Hodgkin-Huxley neuronal network is optimal. We find that successive neuronal layers are able to amplify weak signals ...