Browsing by Author "Polat, Kemal"

Alternatively new signal for sleep staging processing in patients with obstructive sleep apnea: photoplethysmography signal

Uçar, Muhammed Kürşad; Bozkurt, Mehmet Recep; Polat, Kemal; 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 ...

Analysis of fetal heart rate signal based on neighborhood-based variance compression method

Arıcan, Murat; Cömert, Zafer; Kocamaz, Adnan Fatih; Polat, Kemal (Ieee, 2018)

Cardiotocography (CTG) is a fetal monitoring technique and it constitutes two distinct simultaneously recorded biophysical signals which are fetal heart rate (FHR) and uterine contractions (UC). In clinical practice, CTG ...

Application of the output dependent feature scaling in modeling and prediction of performance of counter flow vortex tube having various nozzles numbers at different inlet pressures of air, oxygen, nitrogen and argon

Polat, Kemal; Kırmacı, Volkan (Elsevier Sci Ltd, 2011)

In this study, the performance of the counter flow type vortex tube with the input parameters including the nozzle number (N), the densities of inlet gases (air, oxygen, nitrogen, and argon) and the inlet pressure (P-inlet) ...

Automatic classification of hypertension types based on personal features by machine learning algorithms

Nour, Majid; Polat, Kemal (Hindawi Ltd, 2020)

Hypertension (high blood pressure) is an important disease seen among the public, and early detection of hypertension is significant for early treatment. Hypertension is depicted as systolic blood pressure higher than 140 ...

Automatic classification of hypertension types based on personal features by machine learning algorithms (vol 2020, 2742781, 2020)

Nour, Majid; Polat, Kemal (Hindawi Ltd, 2020)

Correction/Düzeltme: In the article titled “Automatic Classification of Hypertension Types Based on Personal Features by Machine Learning Algorithms” [1], there was an error in the reference provided for the PPG-BP database, ...

Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques

Uçar, Muhammed Kürşad; Bozkurt, Mehmet Recep; Bilgin, Cahit; Polat, Kemal (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 determination of digital modulation types with different noises using convolutional neural network based on time-frequency information

Daldal, Nihat; Cömert, Zafer; Polat, Kemal (Elsevier, 2020)

In this study, a novel digital modulation classification model has been proposed for automatically recognizing six different modulation types including amplitude shift keying (ASK), frequency shift keying (FSK), phase-shift ...

Automatic sleep staging in obstructive sleep apnea patients using photoplethysmography, heart rate variability signal and machine learning techniques

Uçar, Muhammed Kürşad; Bozkurt, Mehmet Recep; Bilgin, Cahit; Polat, Kemal (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 ...

Bispectral features and mean shift clustering for stress and emotion recognition from natural speech

C. K., Yogesh; Muthusamy, Hariharan; Rajamanickam, Yuvaraj; Ngadiran, Ruzelita; Adom, A. H.; Polat, Kemal (Pergamon-Elsevier Science Ltd, 2017)

A new set of features and feature enhancement techniques are proposed to recognize emotion and stress from speech signal. The speech waveforms and the glottal waveforms (derived from the recorded emotional/stress speech ...

Brain-computer interface speller system design from electroencephalogram signals with channel selection algorithms

Khairullah, Enas; Arıcan, Murat; Polat, Kemal (Churchill Livingstone, 2020)

Background and objective: Brain-computer interfaces (BCI) have started to be used with the development of computer technology in order to enable individuals who are in this situation to communicate with their environment ...

Classification of different forest types with machine learning algorithms

Sabancı, Kadir; Ünlerşen, Muhammed Fahri; Polat, Kemal (Latvia Univ Life Sciences & Technologies, 2016)

In this study, forest type mapping data set taken from UCI (University of California, Irvine) machine learning repository database has been classified using different machine learning algorithms including Multilayer ...

Classification of multi-carrier digital modulation signals using NCM clustering based feature-weighting method

Daldal, Nihat; Polat, Kemal; Guo, Yanhui (Elsevier Science Bv, 2019)

This work presents a novel digital modulation signal classification model by combining Neutrosophic c-means (NCM) based feature weighting (NCMBFW) and classifier algorithms. As the digital modulation signal, the multi-carrier ...

Classification of vertebral column disorders and lumbar discs disease using attribute weighting algorithm with mean shift clustering

Ünal, Yavuz; Polat, Kemal; Koçer, Hasan Erdinç (Elsevier Sci Ltd, 2016)

In this article, a new data pre-processing method has been suggested to detect and classify vertebral column disorders and lumbar disc diseases with a high accuracy level. The suggested pre-processing method is called the ...

Covering-based rough set classification system

Kumar, S. Senthil; Inbarani, H. Hannah; Azar, Ahmad Taher; Polat, Kemal (Springer London Ltd, 2017)

Medical data classification is applied in intelligent medical decision support system to classify diseases into different categories. Several classification methods are commonly used in various healthcare settings. These ...

Cuff-less continuous blood pressure estimation from Electrocardiogram(ECG) and Photoplethysmography (PPG) signals with artificial neural network [Elektrokardiyogram(EKG) ve Fotopletismografi (PPG) Sinyallerinden Yapay Sinir Aglari ile Masonsuz Sürekli Kan Basinci Tahmini]

Şentürk, Ümit; Yücedağ, İbrahim; Polat, Kemal (Institute of Electrical and Electronics Engineers Inc., 2018)

Continuous blood measurement important information about the health status of the individuals. Conventional methods use a cuff for blood pressure measurement and cannot be measured continuously. In this study, we proposed ...

Data weighting method on the basis of binary encoded output to solve multi-class pattern classification problems

Polat, Kemal (Pergamon-Elsevier Science Ltd, 2013)

Data weighting is of paramount importance with respect to classification performance in pattern recognition applications. In this paper, the output labels of datasets have been encoded using binary codes (numbers) and by ...

Deep long short-term memory networks-based automatic recognition of six different digital modulation types under varying noise conditions

Daldal, Nihat; Yildirim, Ozal; Polat, Kemal (Springer London Ltd, 2019)

In this paper, a new method based on deep learning has been proposed in order to recognize noise-digital modulation signals at varying noise levels automatically. The 8-bit data from six different modulations have been ...