Yazar "AAA-6844-2019" için Mühendislik Fakültesi / Faculty of Engineering listeleme
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Analysis of Heart Diseases from ECG Signal
Kantar, Tugce; Koseoglu, Ovul; Erdamar, Aykut (2014)At the present time, the main method used in the diagnosis of heart disease is the electrocardiography (ECG). The purpose of this study is design a decision support algorithm which automatically detect the normal sinus ... -
Continuous Wavelet Transform Based Method For Detection Of Arousal
Kantar, Tugce; Erdamar, Aykut (2017)Sleeping is a vital biological requirement in the homeostatic mechanism. Sleep disorders can cause personal health problems and life quality deterioration. Transient waveforms (k-complexes, sleep spindles, arousal, etc.) ... -
Detection of Epilepsy Disease From EEG Signals With Artificial Neural Networks
Ozkan, Cansu; Dogan, Seda; Kantar, Tugce; Aksahin, Mehmet Feyzi; Erdamar, Aykut (2016)The diagnosis of the epilepsy diseases are made by physicians with analyzing the electroencephalography (EEG) records. The epilepsy diseases can be determined with observing the main properties of before and on-time seizure ... -
Detection of K-complexes in Sleep EEG With Support Vector Machines
Kantar, Tugce; Erdamar, Aykut (2017)Sleep is a state that can be characterized by the electrical oscillations of nerve cells, where brain activity is more stable than waking. Transient waveforms observed in sleep electroencephalography are structures with ... -
Detection of PC12 Cell Line Proliferation on AAO Membranes Using Image Processing Techniques
Uyar, Tansel; Erdamar, Aykut; Aksahin, Mehmet Fevzi; Erogul, Osman; Altuntas, Sevde; Buyukserin, Fatih (2015) -
An efficient automatic arousals detection algorithm in single channel EEG
Ugur, Tugce Kantar; Erdamar, Aykut (2019)Background and objective: Electroencephalographic arousal is a transient waveform that instantaneously happens in sleep as an inherent component. It has distinctive amplitude and frequency features. However, it is visually ... -
Image Analysis For Single Cell Gel Electrophoresis
Mese, Alev Kakac; Erdamar, Aykut; Iseri, Ozlem Darcansoy (2017)Detection of dioxyribonucleic acid (DNA) damage is very crucial in various areas of life sciences and in the clinical diagnosis of some pathophysiologies. Single cell gel electrophoresis, also called Comet Assay, is a ... -
Multi-scale classification of single-cell gel electrophoresis assay using deep learning algorithm
Erdamar, Aykut; Aksahin, Mehmet Feyzi (2020)Structural and functional integrity of deoxyribonucleic acid (DNA) is crucial for the maintenance of hereditary information. However, by-products of cellular metabolism and physical or chemical factors may cause spontaneous ... -
A New Image Segmentation Method for Quantitative Analysis of In Vitro Scratch Assay
Erdamar, Aykut; Yilmaz, Sila; Uyar, Tansel; Darcansoy Iseri, Ozlem (2017)Image processing techniques are frequently used for extracting quantitative information from different types of microscopic images. Particularly, in cell biolop, (cell migration, growth, wound healing etc.), image analysis ... -
Obstructive Sleep Apnea Classification with Artificial Neural Network Based On Two Synchronic Hrv Series
Aksahin, Mehmet; Erdamar, Aykut; Firat, Hikmet; Ardic, Sadik; Erogul, Osman (2015)In the present study, "obstructive sleep apnea (OSA) patients" and "non-OSA patients" were classified into two groups using with two synchronic heart rate variability (HRV) series obtained from electrocardiography (ECG) ... -
The Quantitative Analysis of Uvulopalatal Flap Surgery
Erdamar, Aykut; Bayrak, Tuncay; Firat, Hikmet; Mutlu, Murad; Ardic, Sadik; Eroglu, Osman (2017)Objective: In this work, a new methodology based on signal processing techniques for the quantitative analysis of uvulopalatal flap surgery is proposed. Clinical assessment studies of uvulopalatal flap surgery are based ... -
Quantitative sleep EEG synchronization analysis for automatic arousals detection
Erdamar, Aykut; Aksahin, Mehmet Feyzi (2020)Background and objective: Electroencephalographic arousals are considered to be the main reason for the interruption of sleep and are visually examined by sleep physicians. Visual scoring of all-night recordings has ... -
Sleep Apnea Detection Using With EEG, ECG and Respiratory Signals
Aksahin, Mehmet Feyzi; Erdamar, Aykut; Isik, Atakan; Karaduman, Asena (2017)Sleep apnea is one of the major sleep disorders of today. The diagnosis of sleep apnea is performed by specialist physicians. This siruation extends the duration of the diagnosis. To shorten this period and at the same ...