Yazar "Kayikcioglu, Temel" için Scopus İndeksli Yayınlar Koleksiyonu listeleme
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An automatic EEG-based sleep staging system with introducing NAoSP and NAoGP as new metrics for sleep staging systems
Melek, Mesut; Manshouri, Negin; Kayikcioglu, Temel (Springer, 2021)Different biological signals are recorded in sleep labs during sleep for the diagnosis and treatment of human sleep problems. Classification of sleep stages with electroencephalography (EEG) is preferred to other biological ... -
Brain-computer Interface Systems for Smart Homes - A Review Study
Maleki, Masoud; Manshouri, Ncgin; Kayikcioglu, Temel (Bentham Science Publ Ltd, 2021)Brain-computer Interface (BCI) systems, usually using signals taken from users' brain through electroencephalography (EEG), control various devices around and provide the user's command by interacting. Improving the quality ... -
Cell Master: A Versatile and User-Friendly Educational Software for Simulation of Neuronal Dynamics
Ozcan, Zubeyir; Kayikcioglu, Ilknur; Yildirim, Omer; Kose, Cemal; Kayikcioglu, Temel (IEEE, 2018)In this study, A user-friendly, versatile and easily accessible educational software design was done by using NEURON hoc programming in order to investigate the dynamics, biophysical properties of nerve cells and their ... -
Detecting Cardiac Arrhythmia by Using Time Differences of Double Wavelength PPG Peaks
Yildirim, Omer; Kayikcioglu, Temel (IEEE, 2018)Nowadays, photopletismogram (PPG) signals are used in respiration and blood pressure measurement, monitoring of the sleep pattern and also detecting of mental disorders, mainly blood oxygen saturation and heartrate ... -
An EEG-based stereoscopic research of the PSD differences in pre and post 2D&3D movies watching
Manshouri, Negin; Maleki, Masoud; Kayikcioglu, Temel (Elsevier Sci Ltd, 2020)Despite knowing the reality of three-dimensional (3D) technology in the form of eye fatigue, this technology continues to be retained by people (especially the young community). To check the influences of the human brain's ... -
An Efficient 1D Autoencoder-Based Approach for R-Peaks Detection in Electrocardiogram Signals
Dogan, Ramazan Ozgur; Dogan, Hulya; Kayikcioglu, Temel (Institute of Electrical and Electronics Engineers Inc., 2023)Electrocardiogram (ECG) signal which is composition of multiple segments such as P-wave, QRS complex and T-wave plays a crucial role in evaluating human heart cardiac diagnosis. For an analysis of cardiac diagnosis, it is ... -
Health-Monitoring System based Tele-tip for Elders
Yildirim, Omer; Ozgur, Ramazan; Kaya, Ismail; Kayikcioglu, Temel (IEEE, 2015)Nowadays, developments in the medicine continue fastly. Technological devices developed on the basic of these developments are usually complex and its use isn't easy. In our studies, considering this situation, a wireless ... -
Low-Cost Brain-Computer Interface Using the Emotiv Epoc Headset Based on Rotating Vanes
Melek, Mesut; Manshouri, Negin; Kayikcioglu, Temel (Int Information & Engineering Technology Assoc, 2020)In the brain-computer interface system (BCI), electroencephalography (EEG) signals are converted into digital signals and analyzed, allowing direct communication between humans and the electronic devices around them. The ... -
Network Master: A Versatile and User-Friendly Educational Software for Simulation of Neural Networks
Yildirim, Omer; Ozcan, Zubeyir; Turhan, Hilal; Kayikcioglu, Temel (IEEE, 2018)In this study, an interface in which neural networks consisting of biological cells could be modeled and simulated using Neuron hoc programming. With this interface, the resulting action potentials and the behavior of the ... -
Polydimethylsiloxane-based capacitive motion sensor and its read-out circuit
Yildirim, Omer; Bozyel, Ibrahim; Saka, Kubra; Kayikcioglu, Temel; Gokcen, Dincer (Wiley, 2021)A capacitive motion sensor that can detect human walking and motions up to a certain distance was designed using polydimethylsiloxane (PDMS) as the primary sensor material. A read-out circuit was designed to detect capacitive ... -
Power Spectrum Analysis of EEG for Watching 2D & 3D Videos and Resting State
Manshouri, Negin; Maleki, Masoud; Kayikcioglu, Temel (IEEE, 2018)Analysis of the brain waves has become useful over than 80 years. Along with the medical application, the brain signal is also used for other research works in the last fifteen years. In this study, by considering the depth ... -
R-peaks Detection with Convolutional Neural Network in Electrocardiogram Signal
Dogan, Ramazan Ozgur; Kayikcioglu, Temel (IEEE, 2018)The performance of electrocardiogram applications is closely related to the succesful detection of R-peaks. Therefore, successful detection of R-peaks is of high importance. Electrocardiogram signals vary from person to ... -
Real Time Sending and Monitoring Electronic Health Records
Dogan, Ramazan Ozgur; Kayikcioglu, Temel; Yagci, Yavuz (IEEE, 2017)Innovations in the field of health increase with the developing technology nowadays. These technological advances in the health field have enabled us to meet with telemedicine applications. Telemedicine is the use of ... -
Remote Patient Monitoring and Electronic Health Record System Based on Web Services
Dogan, Ramazan Ozgur; Kayikcioglu, Temel (IEEE, 2016)Because of the increase in the number of people, medical problems increase and chronic diseases become more common. Medical data transfer between remote patients and health center can be provided by using information ... -
A Two-Phase Approach using Mask R-CNN and 3D U-Net for High-Accuracy Automatic Segmentation of Pancreas in CT Imaging
Dogan, Ramazan Ozgur; Dogan, Hulya; Bayrak, Coskun; Kayikcioglu, Temel (Elsevier Ireland Ltd, 2021)Background and objective: The size, shape, and position of the pancreas are affected by the patient characteristics such as age, sex, adiposity. Owing to more complex anatomical structures (size, shape, and position) of ...