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Necmettin Sezgin
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2010 – 2019
- 2019
- [j10]Necmettin Sezgin:
A new hand finger movements' classification system based on bicoherence analysis of two-channel surface EMG signals. Neural Comput. Appl. 31(8): 3327-3337 (2019) - 2018
- [j9]Ömer Faruk Ertugrul, Necmettin Sezgin:
A noninvasive time-frequency-based approach to estimate cuffless arterial blood pressure. Turkish J. Electr. Eng. Comput. Sci. 26(5): 2260-2274 (2018) - 2014
- [c6]Yilmaz Kaya, Necmettin Sezgin, Ramazan Tekin:
A new approach for diagnostic estimation of Obstructive Sleep Apnea Syndrome based on One Dimensional Local Binary Pattern. SIU 2014: 333-336 - 2013
- [c5]Yilmaz Kaya, Lokman Kayci, Necmettin Sezgin:
Classification of butterfly images with multi-scale local binary patterns. SIU 2013: 1-4 - [c4]Necmettin Sezgin, M. Emin Tagluk, Ömer Faruk Ertugrul, Yilmaz Kaya:
Bispectral analysis of epileptic EEG signals. SIU 2013: 1-4 - [c3]Ramazan Tekin, M. Emin Tagluk, Ömer Faruk Ertugrul, Necmettin Sezgin:
Complexity and irregularity analysis of the output data of a cortical network. SIU 2013: 1-4 - 2012
- [j8]Mehmet Akin, Necmettin Sezgin:
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. 39(6): 6277 (2012) - [c2]Yilmaz Kaya, M. Emin Tagluk, Necmettin Sezgin:
Diagnostic estimation of OSAS using binary mixture logistic regression. SIU 2012: 1-4 - [c1]Necmettin Sezgin, M. Emin Tagluk, Ramazan Tekin:
Separation of EEG signals by using Independent Component Analysis. SIU 2012: 1-4 - 2011
- [j7]M. Emin Tagluk, Necmettin Sezgin:
A new approach for estimation of obstructive sleep apnea syndrome. Expert Syst. Appl. 38(5): 5346-5351 (2011) - 2010
- [j6]M. Emin Tagluk, Mehmet Akin, Necmettin Sezgin:
Classification of sleep apnea by using wavelet transform and artificial neural networks. Expert Syst. Appl. 37(2): 1600-1607 (2010) - [j5]M. Emin Tagluk, Necmettin Sezgin, Mehmet Akin:
Estimation of Sleep Stages by an Artificial Neural Network Employing EEG, EMG and EOG. J. Medical Syst. 34(4): 717-725 (2010) - [j4]M. Emin Tagluk, Necmettin Sezgin:
Classification of Sleep Apnea through Sub-band Energy of Abdominal Effort Signal Using Wavelets + Neural Networks. J. Medical Syst. 34(6): 1111-1119 (2010)
2000 – 2009
- 2009
- [j3]Necmettin Sezgin, M. Emin Tagluk:
Energy based feature extraction for classification of sleep apnea syndrome. Comput. Biol. Medicine 39(11): 1043-1050 (2009) - [j2]Muhammed B. Kurt, Necmettin Sezgin, Mehmet Akin, Gokhan Kirbas, Muhittin Bayram:
The ANN-based computing of drowsy level. Expert Syst. Appl. 36(2): 2534-2542 (2009) - 2008
- [j1]Mehmet Akin, Muhammed B. Kurt, Necmettin Sezgin, Muhittin Bayram:
Estimating vigilance level by using EEG and EMG signals. Neural Comput. Appl. 17(3): 227-236 (2008)
Coauthor Index
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