Yazar "Kayikcioglu, Temel" için listeleme
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Alert Results Shape of Masses in Contrast Mammography Images and First Order Statistical Features Classification Based on 5 of 11 Shape of Masses in Contrast Mammography Images and First Order Statistical Features Classification Based on
Kobya, Mehmet Emin; Ture, Hayati; Dogan, Ramazan Ozgur; Kayikcioglu, Temel; Teymur, Aykut (IEEE, 2023)Mammography is a valuable tool in the diagnosis and staging of primary breast cancer. Contrast-enhanced mammography (CEM) combines an iodinated contrast agent with traditional mammography to increase diagnostic accuracy, ... -
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 ... -
BroomyCell: An Introductory Educational Software for Neuroscience
Ozcan, Zubeyir; Yildirim, Omer; Kayikcioglu, Temel (IEEE, 2021)Nerve cells are the basic building blocks of the nervous system. Therefore, the first step in neuroscience education is the introduction of nerve cells. However, both the complexity of nerve cells and the difficulty of ... -
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 ... -
Detection of 2D and 3D Video Transitions Based on EEG Power
Melek, Mesut; Kayikcioglu, Temel; Manshouri, Negin (OXFORD UNIV PRESS, 2022)Despite the long and extensive history of 3D technology, it has recently attracted the attention of researchers. This technology has become the center of interest of young people because of the real feelings and sensations ... -
Detection of 2D and 3D Video Transitions Based on EEG Power
Manshouri, Negin; Melek, Mesut; Kayikcioglu, Temel (OXFORD UNIV PRESS, 2022)Despite the long and extensive history of 3D technology, it has recently attracted the attention of researchers. This technology has become the center of interest of young people because of the real feelings and sensations ... -
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 ... -
Fast and Accurate Classifier-Based Brain-Computer Interface System Using Single Channel EEG Data
Maleki, Masoud; Manshouri, Negin; Kayikcioglu, Temel (IEEE, 2018)In brain-computer interface system (BCIs), direct communication between humans and computers is performed by analyzing neural signals and transforming them into digital signals. In the continuation of our previous works, ... -
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 ... -
Segmentation of Pectoral Muscle Region in MLO Mammography Images by Backboned U-Net [Mamografi Görüntülülerindeki Pektoral Kas Bölgesinin Omurgali U-Net ile Bölütlenmesi]
Dogan, Ramazan Ozgur; Ture, Hayati; Kayikcioglu, Temel (Institute of Electrical and Electronics Engineers Inc., 2022)The pectoral muscle region on MLO mammography images appears prominently similar to suspicious areas. For this reason, Computer-Aided Detection (CAD) systems remove this region to reduce false-positive rates in the mass ...
