Sebnem Yosunkaya

According to our database, Sebnem Yosunkaya authored at least 16 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Identification of full-night sleep parameters using morphological features of ECG signals: A practical alternative to EEG and EOG signals.

Sule Yücelbas, Cüneyt Yücelbas, Gülay Tezel, Seral Özsen, Sebnem Yosunkaya

Biomed. Signal Process. Control., February, 2024

2018

Automatic detection of sleep spindles with the use of STFT, EMD and DWT methods.

Cüneyt Yücelbas, Sule Yücelbas, Seral Özsen, Gülay Tezel, Serkan Küççüktürk, Sebnem Yosunkaya

Neural Comput. Appl., 2018

Automatic sleep staging based on SVD, VMD, HHT and morphological features of single-lead ECG signal.

Sule Yücelbas, Cüneyt Yücelbas, Gülay Tezel, Seral Özsen, Sebnem Yosunkaya

Expert Syst. Appl., 2018

2017

A new approach to eliminating EOG artifacts from the sleep EEG signals for the automatic sleep stage classification.

Mehmet Dursun, Seral Özsen, Cüneyt Yücelbas, Sule Yücelbas, Gülay Tezel, Serkan Küççüktürk, Sebnem Yosunkaya

Neural Comput. Appl., 2017

Pre-determination of OSA degree using morphological features of the ECG signal.

Sule Yücelbas, Cüneyt Yücelbas, Gülay Tezel, Seral Özsen, Serkan Küççüktürk, Sebnem Yosunkaya

Expert Syst. Appl., 2017

Effect of the Hilbert-Huang transform method on sleep staging.

Cüneyt Yücelbas, Sule Yücelbas, Seral Özsen, Gülay Tezel, Sebnem Yosunkaya

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016

Elimination of EMG artifacts from EEG signal in sleep staging.

Seral Özsen, Cüneyt Yücelbas, Sule Yücelbas, Gülay Tezel, Sebnem Yosunkaya, Serkan Küççüktürk

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015

Detection of the electrode disconnection in sleep signals.

Cüneyt Yücelbas, Seral Özsen, Sule Yücelbas, Gülay Tezel, Mehmet Dursun, Sebnem Yosunkaya, Serkan Küççüktürk

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Comparison of some spectral analysis methods in detection of sleep spindles using YSA.

Seral Özsen, Mehmet Dursun, Sebnem Yosunkaya

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2011

Sleep spindles recognition system based on time and frequency domain features.

Salih Günes, Mehmet Dursun, Kemal Polat, Sebnem Yosunkaya

Expert Syst. Appl., 2011

2010

Efficient sleep stage recognition system based on EEG signal using k-means clustering based feature weighting.

Salih Günes, Kemal Polat, Sebnem Yosunkaya

Expert Syst. Appl., 2010

Multi-class f-score feature selection approach to classification of obstructive sleep apnea syndrome.

Salih Günes, Kemal Polat, Sebnem Yosunkaya

Expert Syst. Appl., 2010

2008

A New Approach to Diagnosing of Importance Degree of Obstructive Sleep Apnea Syndrome: Pairwise AIRS and Fuzzy-AIRS Classifiers.

Kemal Polat, Sebnem Yosunkaya, Salih Günes

J. Medical Syst., 2008

Pairwise ANFIS Approach to Determining the Disorder Degree of Obstructive Sleep Apnea Syndrome.

Kemal Polat, Sebnem Yosunkaya, Salih Günes

J. Medical Syst., 2008

Comparison of Different Classifier Algorithms on the Automated Detection of Obstructive Sleep Apnea Syndrome.

Kemal Polat, Sebnem Yosunkaya, Salih Günes

J. Medical Syst., 2008

New Data Pre-processing on Assessing of Obstructive Sleep Apnea Syndrome: Line Based Normalization Method (LBNM).

Bayram Akdemir, Salih Günes, Sebnem Yosunkaya

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2008