Classification of asthmatic breath sounds by using wavelet transforms and neural networks FZ Göğüş, B Karlik, G Harman International Journal of Signal Processing Systems 3 (2), 106-111, 2015 | 46 | 2015 |
Identification of pulmonary disorders by using different spectral analysis methods FZ Göğüş, B Karlık, G Harman International Journal of Computational Intelligence Systems 9 (4), 595-611, 2016 | 13 | 2016 |
Identification of Apnea-Hypopnea index subgroups based on multifractal detrended fluctuation analysis and nasal cannula airflow signals FZ Göğüş, G Tezel, S Özşen, S Küççüktürk, H Vatansev, Y Koca Traitement du Signal, 2020 | 8 | 2020 |
Comparision of LPC Based Parametric Techniques for Respiratory Sounds Recognition FZ Göğüş, T Gülay International Journal of Signal Processing Systems 6 (1), 6-11, 2018 | 4 | 2018 |
Apneic events detection using different features of airflow signals FZ Gogus, G Tezel Mehran University Research Journal of Engineering & Technology 38 (1), 1-16, 2019 | 3 | 2019 |
Classification of Sleep Stages Using PSG Recording Signals Y Koca, S Özşen, FZ Göğüş, G Tezel, S Küçüktürk, H Vatansev Avrupa Bilim ve Teknoloji Dergisi, 315-321, 2020 | 2 | 2020 |
Osas hastaları için CPAP cihazlarındaki optimum basıncın yapay zeka ile tahmini FZ Göğüş Konya Teknik Üniversitesi, 2020 | 2 | 2020 |
Heart Sounds Analysis by Using Linear Prediction Cepstral Coefficients FZ Göğüş, G Tezel International Conference on Engineering and Natural Science (ICENS ), 283-289, 2016 | 1 | 2016 |
Etkin EEG Özellikleri Çıkarılarak Arousal Tespiti G Erol, FZ Göğüş, G Tezel Avrupa Bilim ve Teknoloji Dergisi, 117-122, 2020 | | 2020 |
Identification of Pulmonary Disorders by Using Different Spectral Analysis Methods B Karlık, FZ Göğüş, G Harman ATLANTIS PRESS, 2016 | | 2016 |