M. Akin

发表

Application of Periodogram and AR Spectral Analysis to EEG Signals

M. Kemal Kiymik, M. Akin, M. Akin, 2000, Journal of Medical Systems.

Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application

M. Kemal Kiymik, Inan Güler, Alper Dizibüyük, 2005, Comput. Biol. Medicine.

A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals

M. Akin, Zülfikar Aslan, 2021, Physical and Engineering Sciences in Medicine.

Automatic Detection of Schizophrenia by Applying Deep Learning over Spectrogram Images of EEG Signals

Zülfikar Aslan, Mehmet Akin, M. Akin, 2020, Traitement du Signal.

Classification of sleep apnea by using wavelet transform and artificial neural networks

Necmettin Sezgin, M. Emin Tagluk, Mehmet Akin, 2010, Expert Syst. Appl..

Automated fuzzy optic disc detection algorithm using branching of vessels and color properties in fundus images

Mehmet Akin, Abdulnasir Yildiz, Mehmet Nergiz, 2018 .

AR spectral analysis of EEG signals by using maximum likelihood estimation

Inan Güler, Ahmet Alkan, M. Kemal Kiymik, 2001, Comput. Biol. Medicine.

Automatic recognition of alertness level by using wavelet transform and artificial neural network

Abdulhamit Subasi, Mehmet Akin, M. Kemal Kiymik, 2004, Journal of Neuroscience Methods.

Corrigendum to "Classification of sleep apnea by using wavelet transform and artificial neural networks" [Expert Systems with Applications 37 (2) (2010) 1600-1607]

Necmettin Sezgin, Mehmet Akin, M. Akin, 2012, Expert systems with applications.

Automatic detection of Periodic Limb Movements in Sleep (PLMS) disorder by TMS320C6713 Digital Signal Processing Card

M. Akin, G. Kirbas, Hakki Egi, 2010, 2010 IEEE 18th Signal Processing and Communications Applications Conference.

Estimation of Sleep Stages by an Artificial Neural Network Employing EEG, EMG and EOG

Necmettin Sezgin, M. Emin Tagluk, Mehmet Akin, 2010, Journal of Medical Systems.

The Correlation Analysis Between Airflow And Oxygen Saturation In Obstructive Sleep Apnea Events Using Correlation Function

M. Akin, Necmettin Sezgin, G. Kirbas, 2007, 2007 IEEE 15th Signal Processing and Communications Applications.

Comparison of Wavelet Transform and FFT Methods in the Analysis of EEG Signals

M. Akin, M. Akin, 2002, Journal of Medical Systems.

Automated recognition of obstructive sleep apnoea syndrome from ECG recordings

Mehmet Akin, Mustafa Poyraz, Abdulnasir Yildiz, 2010, 2010 IEEE 18th Signal Processing and Communications Applications Conference.

Time-frequency analysis of snoring sounds in patients with simple snoring and OSAS

Necmettin Sezgin, M. Emin Tagluk, Mehmet Akin, 2009, 2009 IEEE 17th Signal Processing and Communications Applications Conference.

A new approach for diagnosing epilepsy by using wavelet transform and neural networks

Ibrahim Turkoglu, M. Akin, M. A. Arserim, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic recognition of vigilance state by using a wavelet-based artificial neural network

Osman Erogul, Abdulhamit Subasi, M. Kemal Kiymik, 2005, Neural Computing & Applications.

Application of adaptive neuro-fuzzy inference system for vigilance level estimation by using wavelet-entropy feature extraction

Mustafa Poyraz, Mehmet Akin, Abdulnasir Yildiz, 2009, Expert Syst. Appl..

Estimating vigilance level by using EEG and EMG signals

Necmettin Sezgin, Mehmet Akin, Muhammed B. Kurt, 2008, Neural Computing and Applications.

An expert system for automated recognition of patients with obstructive sleep apnea using electrocardiogram recordings

Mustafa Poyraz, Mehmet Akin, Abdulnasir Yildiz, 2011, Expert Syst. Appl..

The ANN-based computing of drowsy level

Necmettin Sezgin, Mehmet Akin, Gokhan Kirbas, 2009, Expert Syst. Appl..

Using bispectral analysis in OSAS estimation

Necmettin Sezgin, M. Emin Tagluk, Mehmet Akin, 2010, 2010 IEEE 18th Signal Processing and Communications Applications Conference.