Necmettin Sezgin

16 papers Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2019 J jnl
A new hand finger movements' classification system based on bicoherence analysis of two-channel surface EMG signals.
Neural Comput. Appl.
Necmettin Sezgin
2018 J jnl
A noninvasive time-frequency-based approach to estimate cuffless arterial blood pressure.
Turkish J. Electr. Eng. Comput. Sci.
Ömer Faruk Ertugrul, Necmettin Sezgin
2014 — conf
A new approach for diagnostic estimation of Obstructive Sleep Apnea Syndrome based on One Dimensional Local Binary Pattern.
SIU
Yilmaz Kaya, Necmettin Sezgin, Ramazan Tekin
2013 — conf
Bispectral analysis of epileptic EEG signals.
SIU
Necmettin Sezgin, M. Emin Tagluk, Ömer Faruk Ertugrul, Yilmaz Kaya
2013 — conf
Classification of butterfly images with multi-scale local binary patterns.
SIU
Yilmaz Kaya, Lokman Kayci, Necmettin Sezgin
2013 — conf
Complexity and irregularity analysis of the output data of a cortical network.
SIU
Ramazan Tekin, M. Emin Tagluk, Ömer Faruk Ertugrul, Necmettin Sezgin
2012 J jnl
Corrigendum to "Classification of sleep apnea by using wavelet transform and artificial neural networks" [Expert Systems with Applications 37 (2) (2010) 1600-1607].
Expert Syst. Appl.
Mehmet Akin, Necmettin Sezgin
2012 — conf
Diagnostic estimation of OSAS using binary mixture logistic regression.
SIU
Yilmaz Kaya, M. Emin Tagluk, Necmettin Sezgin
2012 — conf
Separation of EEG signals by using Independent Component Analysis.
SIU
Necmettin Sezgin, M. Emin Tagluk, Ramazan Tekin
2011 J jnl
A new approach for estimation of obstructive sleep apnea syndrome.
Expert Syst. Appl.
M. Emin Tagluk, Necmettin Sezgin
2010 J jnl
Classification of Sleep Apnea through Sub-band Energy of Abdominal Effort Signal Using Wavelets + Neural Networks.
J. Medical Syst.
M. Emin Tagluk, Necmettin Sezgin
2010 J jnl
Classification of sleep apnea by using wavelet transform and artificial neural networks.
Expert Syst. Appl.
M. Emin Tagluk, Mehmet Akin, Necmettin Sezgin
2010 J jnl
Estimation of Sleep Stages by an Artificial Neural Network Employing EEG, EMG and EOG.
J. Medical Syst.
M. Emin Tagluk, Necmettin Sezgin, Mehmet Akin
2009 J jnl
Energy based feature extraction for classification of sleep apnea syndrome.
Comput. Biol. Medicine
Necmettin Sezgin, M. Emin Tagluk
2009 J jnl
The ANN-based computing of drowsy level.
Expert Syst. Appl.
Muhammed B. Kurt, Necmettin Sezgin, Mehmet Akin, Gokhan Kirbas, Muhittin Bayram
2008 J jnl
Estimating vigilance level by using EEG and EMG signals.
Neural Comput. Appl.
Mehmet Akin, Muhammed B. Kurt, Necmettin Sezgin, Muhittin Bayram