Mehmet Recep Bozkurt

Orcid: 0000-0003-0673-4454

According to our database1, Mehmet Recep Bozkurt authored at least 24 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

2023
Machine learning-based medical decision support system for diagnosing HFpEF and HFrEF using PPG.
Biomed. Signal Process. Control., 2023

Deep Transfer Learning for Chronic Obstructive Pulmonary Disease Detection Utilizing Electrocardiogram Signals.
IEEE Access, 2023

2022
A new diagnostic method for chronic obstructive pulmonary disease using the photoplethysmography signal and hybrid artificial intelligence.
PeerJ Comput. Sci., 2022

Determination gender-based hybrid artificial intelligence of body muscle percentage by photoplethysmography signal.
Comput. Methods Programs Biomed., 2022

Accurate Analysis of the Spatial Pattern of Reflected Light and Surface Orientations Based on Color Illumination.
Comput. Informatics, 2022

A New Medical Decision Support System for Diagnosing HFrEF and HFpEF Using ECG and Machine Learning Techniques.
IEEE Access, 2022

2021
Determination of body fat percentage by electrocardiography signal with gender based artificial intelligence.
Biomed. Signal Process. Control., 2021

IIR Based Digital Filter Design for Denoising the Photoplethysmography Signal.
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

2019
GKP Signal Processing Using Deep CNN and SVM for Tongue-Machine Interface.
Traitement du Signal, 2019

2018
Automatic sleep staging in obstructive sleep apnea patients using photoplethysmography, heart rate variability signal and machine learning techniques.
Neural Comput. Appl., 2018

Respiratory scoring using photoplethysmography signal and nearest neighbor algorithm.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017
Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques.
Neural Comput. Appl., 2017

Statistical analysis of heart rate variability during abnormal respiratory events in obstructive sleep apnea patients.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Statistical investigation of heart rate variable derived from photoplethysmography signal in sleep staging process.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016
Alternatively new signal for sleep staging processing in patients with Obstructive Sleep Apnea: Photoplethysmography signal.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Sleep staging using photoplethysmography signal and kNN nearest neighbor algorithm.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Utilizing photophlethysmography signal features and implementing a decision tree to determine sleep cycles-non sleep cycles.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015
Investigation of effects of time domain features of the photoplethysmography (PPG) signal on sleep respiratory arrests.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2014
A novel feature ranking algorithm for biometric recognition with PPG signals.
Comput. Biol. Medicine, 2014

Real time heart rate detection using non-contact photoplethysmography signals.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2013
Feature extraction for biometric recognition with photoplethysmography signals.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2012
Determination of Women Iron Deficiency Anemia Using Neural Networks.
J. Medical Syst., 2012

2007
EMG işaretlerinin modern yöntemlerle önişlenmesi ve sınıflandırılması (Pre-processing and classification of EMG signals by using modern method)
PhD thesis, 2007

Classification of EMG Signals by Using AR Spectral Estimation Methods.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007


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