Publication

Publication

PUBLICATION

Journal Articles

2017

  • M. K. Uçar, C. Bilgin, F. Bozkurt, K. Polat, and M. R. Bozkurt, “An Alternative New Signal In The Respiratory Scoring Process In Patients With Obstructive Sleep Apnea: Photoplethysmography Signal,” J. Hum. Rhythm, vol. 3, no. 4, pp. 190–197, 2017.
  • S. Gül, M. K. Uçar, G. Çetinel, E. Bergil, and M. R. Bozkurt, “Automated Pre-Seizure Detection for Epileptic Patients Using Machine Learning Methods,” I.J. Image, Graph. Signal Process., vol. 7, pp. 1–9, 2017.
  • I. Cerit, A. Yildirim, M. K. Uçar, A. Demirkol, S. Cosansu, and O. Demirkol, “Estimation of antioxidant activity of foods using artificial neural networks,” J. Food Nutr. Res., vol. 56, no. 2, pp. 138–148, 2017.
  • M. K. Uçar, M. R. Bozkurt, C. Bilgin, and K. Polat, “Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques,” Neural Comput. Appl., vol. 28, no. 10, pp. 2931–2945, Oct. 2017.
  • M. K. Uçar, M. R. Bozkurt, C. Bilgin, and K. Polat, “Suggestions for Alternative System Designs to Polysomnography System,” Clin. Med. Sci. – Curr. Sci. Med. J., vol. 5, no. 3, pp. 1–12, 2017.

2016

  • M. K. Uçar, R. Bozkurt, and F. Bozkurt, “Sympathetic Skin Response: A New Biological Signal that can be used in Diagnosis of Fibromyalgia Instead of Beck Depression Inventory,” I.J. Image, Graph. Signal Process., vol. 7, pp. 32–40, 2016.
  • M. K. Uçar, M. R. Bozkurt, C. Bilgin, and K. Polat, “Automatic sleep staging in obstructive sleep apnea patients using photoplethysmography, heart rate variability signal and machine learning techniques,” Neural Computing and Applications, Springer London, pp. 1–16, 31-May-2016.
  • C. Bilgin, Ü. Erkorkmaz, M. K. Uçar, N. Akin, A. Nalbant, and A. N. Annakkaya, “Use of a portable monitoring device (Somnocheck Micro) for the investigation and diagnosis of obstructive sleep apnoea in comparison with polysomnography,” Pakistan J. Med. Sci., vol. 32, no. 2, pp. 471–475, 2016.
  • M. K. Uçar, M. R. Bozkurt, and F. Bozkurt, “Determination of New Bio Signal and Tests Alternative to Verbal Pain Scale for Diagnosing Fibromyalgia Syndrome,” I.J. Image, Graph. Signal Process., vol. 3, pp. 1–8, 2016.

2015

  • B. D. Güngör, M. K. Uçar, and F. Bozkurt, “Statistical Investigation of the Effects of Fetal Heart Rate (FHR) and Uterine Contractions (UC) Signals on Apgar,” Int. J. Comput. Appl., vol. 117, no. 5, pp. 17–21, 2015.

2014

  • M. K. Uçar and M. R. Bozkurt, “The identification of diagnostic percentage of fibromiyalgia disease only with sympathetic skin response data,” SAU J. Sci. SAU J. Sci, vol. 18, no. 2, pp. 81–86, 2014.

2013

  • A. Akgül, M. K. Uçar, M. M. Öztürk, and Z. Eksi, “Proposals for improvement of engineering education, future engineers and labor force analysis” Suleyman Demirel University Institute of Science and Technology, vol. 17, no. 1, pp. 14–18, 2013.
  • M. K. Uçar, M. R. Bozkurt, and F. Bozkurt, “A Survey of SSR Mechanism and Application,” Int. J. Comput. Appl., vol. 73, no. 6, pp. 9–14, 2013.

Papers in Proceedings

2017

  • M. K. Uçar, S. Örenç, M. R. Bozkurt, and C. Bilgin, “Evaluation of the relationship between Chronic Obstructive Pulmonary Disease and photoplethysmography signal,” in 2017 Medical Technologies National Congress (TIPTEKNO), 2017, pp. 1–4.
  • S. Örenç, M. K. Uçar, M. R. Bozkurt, and C. Bilgin, “A new approach for treatment of chronic obstructive pulmonary disease,” in 2017 Medical Technologies National Congress (TIPTEKNO), 2017, pp. 1–4.
  • M. K. Uçar, M. R. Bozkurt, and C. Bilgin, “Statistical analysis of heart rate variability during abnormal respiratory events in obstructive sleep apnea patients,” in 2017 25th Signal Processing and Communications Applications Conference (SIU), 2017, pp. 1–4.
  • A. Demirkol, I. Cerit, M. K. Uçar, S. Cosansu, and O. Demirkol, “An ANN Aided Optimal Estimation Approach to Antioxidant Activity of Foods,” in 3rd International Turkic World Conference on Chemical Sciences and Technlogies, 2017, p. 155.
  • M. K. Uçar, M. R. Bozkurt, and C. Bilgin, “Statistical investigation of heart rate variable derived from photoplethysmography signal in sleep staging process,” in 2017 25th Signal Processing and Communications Applications Conference (SIU), 2017, pp. 1–4.

2016

  • S. Tuna, M. R. Bozkurt, M. K. Uçar, and C. Bilgin, “Sleep staging using photoplethysmography signal and kNN nearest neighbor algorithm,” in 2016 24th Signal Processing and Communication Application Conference (SIU), 2016, pp. 1373–1376.
  • M. K. Uçar, M. R. Bozkurt, K. Polat, and C. Bilgin, “Alternatively new signal for sleep staging processing in patients with Obstructive Sleep Apnea: Photoplethysmography signal,” in 2016 24th Signal Processing and Communication Application Conference (SIU), 2016, pp. 257–260.
  • F. Bozkurt, M. R. Bozkurt, M. K. Uçar, C. Bilgin, and E. Köklükaya, “Utilizing photophlethysmography signal features and implementing a decision tree to determine sleep cycles-non sleep cycles,” in 2016 24th Signal Processing and Communication Application Conference (SIU), 2016, pp. 917–920.
  • C. Bilgin, Ü. Erkorkmaz, M. K. Uçar, N. Akin, A. Nalbant, and A. N. Annakkaya, “Comparison of Sleep Detection Test (Somnocheck Micro) and Polysomnography for Obstructive Sleep Apnea Syndrome,” in National Lung Health Congress, 2016.

2015

  • M. K. Uçar, M. R. Bozkurt, K. Polat, A. V. Can, B. D. Güngör, and C. Bilgin, “Innovation Practices in the Health Economics and Biomedical Device Industry: The Case of Obstructive Sleep Apnea Syndrome (OSAS) Diagnosis System,” in I. International Economy and Business Congress (ICEB’2015), 2015, pp. 754–63.
  • M. K. Uçar, M. R. Bozkurt, K. Polat, and C. Bilgin, “Investigation of effects of time domain features of the photoplethysmography (PPG) signal on sleep respiratory arrests,” in 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015, pp. 124–127.
  • B. D. Güngör, M. K. Uçar, and F. Bozkurt, “Statistical investigation of the effects of fetal heart rate (FHR) and uterine contractions (UC) signals on apgar score,” in 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015, pp. 459–462.

2014

  • M. K. Uçar, K. Polat, M. R. Bozkurt, and C. Bilgin, “The Effect of Time and Frequency of Domine Features on the Classification of Sleep EEG and EOG Signals,” in Tip Tekno 2014 – National Congress of Medical Technologies Declaration, 2014, pp. 163–166.
  • M. K. Uçar, M. R. Bozkurt, K. Polat, and C. Bilgin, “The Effect of Digital Filtering on the Classification of Sleep Stages Using EEG Signals,” in ELECO 2014, Electrical – Electronics, Computer and Biomedical Engineering Symposium, 2014, pp. 618–622.

2013

  • S. Yener, B. Kanberoglu, M. K. Uçar, and O. Çerezci, “EMC Education at Sakarya University,” in 1st International Symposium on Innovative Technologies in Engineering and Science, 2013.
  • 2012
  • M. M. Öztürk, Z. Eksi, A. Akgül, and M. K. Uçar, “Modeling and performance analysis of logic circuits with HTML5,” in Symposium on Cooperation with Industry in Future Engineering Education MEEIS 2012, 2012, pp. 186–189.

EDITOR

Book

  • Artificial Intelligence and Applications in Engineering, Sakarya University Library Publishing House, Language: Turkish, 2017.

Journal

  • Clinical Medical Sciences – Current scientific and medical journal, Vol 5, No 3, 2017.

Conference Proceedings Book

  • 10th International Congress on Turkish World of Social Sciences Proceedings, 2012.
  • 11th International Congress on Turkish World of Social Sciences Proceedings, 2013.
  • 12th International Congress on Turkish World of Social Sciences Proceedings, 2014.
  • 7th International Conference on Social Sciences in the Balkans Proceedings, 2015.
  • 13th International Congress on Turkish World of Social Sciences Proceedings, 2016.