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Browsing Fakülteler / Faculties by Author "Bozkurt, Mehmet Recep"

Now showing items 1-14 of 55

A New Approach For Treatment of Chronic Obstructive Pulmonary Disease

Sedat Orenc; Uçar, Muhammed Kürşad; Bozkurt, Mehmet Recep; Bilgin, Cahit (IEEE, 2017)

Chronic Obstructive Pulmonary Disease (COPD) is a persistent respiratory disease usually caused by toxic gases. The diagnosis is made by a specialist doctor on a report taken by a specialist technician using a spirometer. ...
A New Approach For Treatment of Chronic Obstructive Pulmonary Disease

Sedat Orenc; Uçar, Muhammed Kürşad; Bozkurt, Mehmet Recep; Bilgin, Cahit (IEEE, 2017)

Chronic Obstructive Pulmonary Disease (COPD) is a persistent respiratory disease usually caused by toxic gases. The diagnosis is made by a specialist doctor on a report taken by a specialist technician using a spirometer. ...
A novel feature ranking algorithm for biometric recognition with PPG signals

Bozkurt, Mehmet Recep (PERGAMON-ELSEVIER SCIENCE LTD, 2014)

This study is intended for describing the application of the Photoplethysmography (PPG) signal and the time domain features acquired from its first and second derivatives for biometric identification. For this purpose, a ...
Accurate Analysis of the Spatial Pattern of Reflected Light and Surface Orientations Based on Color Illumination

Kotan, Muhammed; Öz, Cemil; Bozkurt, Mehmet Recep (2022-11-09)

3D recovery approaches require a variety of clues to obtain shape information. The shape from shading (SFS) method uses shading variations in images to estimate depth maps. Although shading contains detailed information, ...
Alternatively New Signal for Sleep Staging Processing in Patients with Obstructive Sleep Apnea: Photoplethysmography Signal

Uçar, Muhammed Kürşad; Bozkurt, Mehmet Recep; Kemal Polat; Bilgin, Cahit (IEEE, 2016)

Diagnosis of Obstructive Sleep Apnea is done by expert doctors by examining biological signals which is obtain from the patient help of polysomnography device. Review, consists of two stages which are sleep staging and ...
Alternatively New Signal for Sleep Staging Processing in Patients with Obstructive Sleep Apnea: Photoplethysmography Signal

Uçar, Muhammed Kürşad; Bozkurt, Mehmet Recep; Kemal Polat; Bilgin, Cahit (IEEE, 2016)

Diagnosis of Obstructive Sleep Apnea is done by expert doctors by examining biological signals which is obtain from the patient help of polysomnography device. Review, consists of two stages which are sleep staging and ...
An innovative peak detection algorithm for photoplethysmography signals: an adaptive segmentation method

Ahmet Resit Kavsaoglu; Kemal Polat; Bozkurt, Mehmet Recep (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2016)

The purpose of this paper is twofold. The first purpose is to detect M-peaks from raw photoplethysmography (PPG) signals with no preprocessing method applied to the signals. The second purpose is to estimate heart rate ...
Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques

Uçar, Muhammed Kürşad; Bozkurt, Mehmet Recep; Bilgin, Cahit; Kemal Polat (SPRINGER, 2017)

Obstructive sleep apnea is a syndrome which is characterized by the decrease in air flow or respiratory arrest depending on upper respiratory tract obstructions recurring during sleep and often observed with the decrease ...
Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques

Uçar, Muhammed Kürşad; Bozkurt, Mehmet Recep; Bilgin, Cahit; Kemal Polat (SPRINGER, 2017)

Obstructive sleep apnea is a syndrome which is characterized by the decrease in air flow or respiratory arrest depending on upper respiratory tract obstructions recurring during sleep and often observed with the decrease ...
Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques

Uçar, Muhammed Kürşad; Bozkurt, Mehmet Recep; Kemal Polat (SPRINGER, 2017)

Obstructive sleep apnea is a syndrome which is characterized by the decrease in air flow or respiratory arrest depending on upper respiratory tract obstructions recurring during sleep and often observed with the decrease ...
Automatic sleep staging in obstructive sleep apnea patients using photoplethysmography, heart rate variability signal and machine learning techniques

Bozkurt, Mehmet Recep; Bilgin, Cahit; Kemal Polat (SPRINGER, 2018)

It is extremely significant to identify sleep stages accurately in the diagnosis of obstructive sleep apnea. In the study, it was aimed at determining sleep and wakefulness using a practical and applicable method. For this ...
Automatic sleep staging in obstructive sleep apnea patients using photoplethysmography, heart rate variability signal and machine learning techniques

Bozkurt, Mehmet Recep; Bilgin, Cahit; Kemal Polat (SPRINGER, 2018)

It is extremely significant to identify sleep stages accurately in the diagnosis of obstructive sleep apnea. In the study, it was aimed at determining sleep and wakefulness using a practical and applicable method. For this ...
Comparison of AR parametric methods with subspace-based methods for EMG signal classification using stand-alone and merged neural network models

Bozkurt, Mehmet Recep; Abdulhamit Subasi; Köklükaya, Etem; Yılmaz, Mustafa (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2016)

This research introduces an electromyogram (EMG) pattern classification of individual motor unit action potentials (MUPs) from intramuscular electromyographic signals. The presented technique automatically classifies EMG ...
Comparison of different methods for determining diabetes

Bozkurt, Mehmet Recep; Yurtay, Nilüfer; Yılmaz, Ziynet; Sertkaya, Cengiz (TUBİTAK, 2014)

In this study, the Pima Indian Diabetes dataset was categorized with 8 different classifiers. The data were taken from the University of California Irvine Machine Learning Repository's web site. As a classifier, 6 different ...