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Browsing Makale Koleksiyonu by Author

Browsing Makale Koleksiyonu by Author "Kemal Polat"

Now showing items 1-6 of 6

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; 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 ...
Signal Processing and Communications Applications Conference

Uçar, Muhammed Kürşad; Bozkurt, Mehmet Recep; Kemal Polat; Bilgin, Cahit (IEEE, 2015)

Obstructive Sleep Apnea Syndrome is one of the major diseases of our century. Diagnosis of this disease is very difficult. The reason of the difficulty is the complexity of the system. AHI index is calculated for the ...