Necmettin Sezgin

Orcid: 0000-0002-2303-2254

According to our database1, Necmettin Sezgin authored at least 16 papers between 2008 and 2019.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Bibliography

2019
A new hand finger movements' classification system based on bicoherence analysis of two-channel surface EMG signals.
Neural Comput. Appl., 2019

2018
A noninvasive time-frequency-based approach to estimate cuffless arterial blood pressure.
Turkish J. Electr. Eng. Comput. Sci., 2018

2014
A new approach for diagnostic estimation of Obstructive Sleep Apnea Syndrome based on One Dimensional Local Binary Pattern.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2013
Complexity and irregularity analysis of the output data of a cortical network.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Bispectral analysis of epileptic EEG signals.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Classification of butterfly images with multi-scale local binary patterns.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2012
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., 2012

Separation of EEG signals by using Independent Component Analysis.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Diagnostic estimation of OSAS using binary mixture logistic regression.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

2011
A new approach for estimation of obstructive sleep apnea syndrome.
Expert Syst. Appl., 2011

2010
Estimation of Sleep Stages by an Artificial Neural Network Employing EEG, EMG and EOG.
J. Medical Syst., 2010

Classification of Sleep Apnea through Sub-band Energy of Abdominal Effort Signal Using Wavelets + Neural Networks.
J. Medical Syst., 2010

Classification of sleep apnea by using wavelet transform and artificial neural networks.
Expert Syst. Appl., 2010

2009
The ANN-based computing of drowsy level.
Expert Syst. Appl., 2009

Energy based feature extraction for classification of sleep apnea syndrome.
Comput. Biol. Medicine, 2009

2008
Estimating vigilance level by using EEG and EMG signals.
Neural Comput. Appl., 2008


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