Sebnem Yosunkaya

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 8

Top Topics

Automatic Detection

Morphological Features

Top Venues

Neural Comput. Appl.

Expert Syst. Appl.

Biomed. Signal Process. Control.

Publications

Sule Yücelbas, Cüneyt Yücelbas, Gülay Tezel, Seral Özsen, Sebnem Yosunkaya
Identification of full-night sleep parameters using morphological features of ECG signals: A practical alternative to EEG and EOG signals. Biomed. Signal Process. Control. 88 (Part B) (2024)
Cüneyt Yücelbas, Sule Yücelbas, Seral Özsen, Gülay Tezel, Serkan Küççüktürk, Sebnem Yosunkaya
A novel system for automatic detection of K-complexes in sleep EEG. Neural Comput. Appl. 29 (8) (2018)
Cüneyt Yücelbas, Sule Yücelbas, Seral Özsen, Gülay Tezel, Serkan Küççüktürk, Sebnem Yosunkaya
Automatic detection of sleep spindles with the use of STFT, EMD and DWT methods. Neural Comput. Appl. 29 (8) (2018)
Sule Yücelbas, Cüneyt Yücelbas, Gülay Tezel, Seral Özsen, Sebnem Yosunkaya
Automatic sleep staging based on SVD, VMD, HHT and morphological features of single-lead ECG signal. Expert Syst. Appl. 102 (2018)
Cüneyt Yücelbas, Sule Yücelbas, Seral Özsen, Gülay Tezel, Sebnem Yosunkaya
Effect of the Hilbert-Huang transform method on sleep staging. SIU (2017)
Mehmet Dursun, Seral Özsen, Cüneyt Yücelbas, Sule Yücelbas, Gülay Tezel, Serkan Küççüktürk, Sebnem Yosunkaya
A new approach to eliminating EOG artifacts from the sleep EEG signals for the automatic sleep stage classification. Neural Comput. Appl. 28 (10) (2017)
Sule Yücelbas, Cüneyt Yücelbas, Gülay Tezel, Seral Özsen, Serkan Küççüktürk, Sebnem Yosunkaya
Pre-determination of OSA degree using morphological features of the ECG signal. Expert Syst. Appl. 81 (2017)
Seral Özsen, Cüneyt Yücelbas, Sule Yücelbas, Gülay Tezel, Sebnem Yosunkaya, Serkan Küççüktürk
Elimination of EMG artifacts from EEG signal in sleep staging. SIU (2016)
Cüneyt Yücelbas, Seral Özsen, Sule Yücelbas, Gülay Tezel, Mehmet Dursun, Sebnem Yosunkaya, Serkan Küççüktürk
Detection of the electrode disconnection in sleep signals. SIU (2015)
Seral Özsen, Mehmet Dursun, Sebnem Yosunkaya
Comparison of some spectral analysis methods in detection of sleep spindles using YSA. SIU (2015)
Salih Günes, Mehmet Dursun, Kemal Polat, Sebnem Yosunkaya
Sleep spindles recognition system based on time and frequency domain features. Expert Syst. Appl. 38 (3) (2011)
Salih Günes, Kemal Polat, Sebnem Yosunkaya
Efficient sleep stage recognition system based on EEG signal using k-means clustering based feature weighting. Expert Syst. Appl. 37 (12) (2010)
Salih Günes, Kemal Polat, Sebnem Yosunkaya
Multi-class f-score feature selection approach to classification of obstructive sleep apnea syndrome. Expert Syst. Appl. 37 (2) (2010)
Kemal Polat, Sebnem Yosunkaya, Salih Günes
Comparison of Different Classifier Algorithms on the Automated Detection of Obstructive Sleep Apnea Syndrome. J. Medical Syst. 32 (3) (2008)
Bayram Akdemir, Salih Günes, Sebnem Yosunkaya
New Data Pre-processing on Assessing of Obstructive Sleep Apnea Syndrome: Line Based Normalization Method (LBNM). ICIC (3) (2008)
Kemal Polat, Sebnem Yosunkaya, Salih Günes
A New Approach to Diagnosing of Importance Degree of Obstructive Sleep Apnea Syndrome: Pairwise AIRS and Fuzzy-AIRS Classifiers. J. Medical Syst. 32 (6) (2008)
Kemal Polat, Sebnem Yosunkaya, Salih Günes
Pairwise ANFIS Approach to Determining the Disorder Degree of Obstructive Sleep Apnea Syndrome. J. Medical Syst. 32 (5) (2008)