Mehmet Korürek

发表

EMG SIGNAL CLASSIFICATION USING WAVELET TRANSFORM AND FUZZY CLUSTERING ALGORITHMS Yücel

Y. Koçyigit, Mehmet Korürek, 2003 .

Simulation of normal cardiovascular system and severe aortic stenosis using equivalent electronic model.

Mehmet Korürek, M. Yıldız, A. Yüksel, 2010, Anadolu kardiyoloji dergisi : AKD = the Anatolian journal of cardiology.

A new method to estimate short-run and long-run interaction mechanisms in interictal state

Mehmet Korürek, Ata Özkaya, Mehmet Korürek, 2010, Digit. Signal Process..

ECG heart beat classification method based on modified ABC algorithm

Mehmet Korürek, Selim Dilmac, Mehmet Korürek, 2015, Appl. Soft Comput..

Evaluation of a new heart beat classification method based on ABC algorithm, comparison with GA, PSO and ACO classifiers

Mehmet Korürek, Ali Nizam, Selim Dilmac, 2014, Int. J. Reason. based Intell. Syst..

ECG beat classification using particle swarm optimization and radial basis function neural network

Mehmet Korürek, Berat Dogan, Mehmet Korürek, 2010, Expert Syst. Appl..

Feature measurements of ECG beats based on statistical classifiers

Mehmet Engin, Erkan Zeki Engin, Mehmet Korürek, 2007 .

Medical image segmentation with transform and moment based features and incremental supervised neural network

Tamer Ölmez, Zümray Dokur, Zafer Iscan, 2009, Digit. Signal Process..

Estimating short-run and long-run interaction mechanisms in interictal state

Mehmet Korürek, Ata Özkaya, Mehmet Korürek, 2010, Journal of Computational Neuroscience.

A new ECG beat clustering method based on kernelized fuzzy c-means and hybrid ant colony optimization for continuous domains

Mehmet Korürek, Berat Dogan, Mehmet Korürek, 2012, Appl. Soft Comput..

A new arrhythmia clustering technique based on Ant Colony Optimization

Mehmet Korürek, Ali Nizam, Mehmet Korürek, 2008, J. Biomed. Informatics.

Clustering MIT-BIH arrhythmias with Ant Colony Optimization using time domain and PCA compressed wavelet coefficients

Mehmet Korürek, Ali Nizam, Mehmet Korürek, 2010, Digit. Signal Process..