Author Info
Name
Affiliation
Papers
SEBNEM YOSUNKAYA
Faculty of Medicine, Sleep Laboratory, Selcuk University, Konya, Turkey
11
Collaborators
Citations 
PageRank 
9
109
7.90
Referers 
Referees 
References 
317
257
125
Search Limit
100317
Title
Citations
PageRank
Year
Automatic sleep staging based on SVD, VMD, HHT and morphological features of single-lead ECG signal.20.392018
A novel system for automatic detection of K-complexes in sleep EEG.10.352018
Automatic detection of sleep spindles with the use of STFT, EMD and DWT methods.50.412018
A new approach to eliminating EOG artifacts from the sleep EEG signals for the automatic sleep stage classification.20.382017
Pre-determination of OSA degree using morphological features of the ECG signal.20.382017
Sleep spindles recognition system based on time and frequency domain features100.662011
Efficient sleep stage recognition system based on EEG signal using k-means clustering based feature weighting552.172010
Multi-class f-score feature selection approach to classification of obstructive sleep apnea syndrome111.042010
A new approach to diagnosing of importance degree of obstructive sleep apnea syndrome: Pairwise AIRS and Fuzzy-AIRS classifiers.10.362008
Pairwise ANFIS approach to determining the disorder degree of obstructive sleep apnea syndrome.70.752008
Comparison of different classifier algorithms on the automated detection of obstructive sleep apnea syndrome.131.022008