Periklis Y. Ktonas

According to our database, Periklis Y. Ktonas authored at least 11 papers between 1989 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Automated Sleep Spindle Detection System using Period-Amplitude Analysis.

Panagiotis Rizogiannis, Periklis Y. Ktonas, Hara Tsekou, Thomas Paparrigopoulos, Dimitris G. Dikeos, Errikos Chaim Ventouras

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2014

Amplitude normalization applied to an artificial neural network-based automatic sleep spindle detection system.

Errikos M. Ventouras, Maria Panagi, Hara Tsekou, Thomas J. Paparrigopoulos, Periklis Y. Ktonas

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012

Single-trial magnetoencephalography signals encoded as an unfolding decision process.

Nikolaos Smyrnis, Dimitris S. Mylonas, Roozbeh Rezaie, Constantinos I. Siettos, Errikos M. Ventouras, Periklis Y. Ktonas, Ioannis Evdokimidis, Andrew C. Papanicolaou

NeuroImage, 2012

Performance evaluation of an Artificial Neural Network automatic spindle detection system.

Errikos M. Ventouras, Nicholas-Tiberio Economou, Ilia Kritikou, Hara Tsekou, Thomas J. Paparrigopoulos, Periklis Y. Ktonas

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2010

Independent Component Analysis for Source Localization of EEG Sleep Spindle Components.

Errikos M. Ventouras, Periklis Y. Ktonas, Hara Tsekou, Thomas Paparrigopoulos, Ioannis Kalatzis, Constantin R. Soldatos

Comput. Intell. Neurosci., 2010

2008

Slow and fast EEG sleep spindle component extraction using Independent Component Analysis.

Errikos M. Ventouras, Periklis Y. Ktonas, Hara Tsekou, Thomas Paparrigopoulos, Ioannis Kalatzis, Constantin R. Soldatos

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

Comparison of fractal dimension estimation algorithms for epileptic seizure onset detection.

Georgia E. Polychronaki, Periklis Y. Ktonas, Stylianos Gatzonis, Pantelis A. Asvestas, Eirini Spanou, Anna Siatouni, Hara Tsekou, Damianos Sakas, Konstantina S. Nikita

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2006

Detection of pseudosinusoidal epileptic seizure segments in the neonatal EEG by cascading a rule-based algorithm with a neural network.

Nicolaos B. Karayiannis, Amit Mukherjee, John R. Glover, Periklis Y. Ktonas, James D. Frost Jr., Richard A. Hrachovy, Eli M. Mizrahi

IEEE Trans. Biomed. Eng., 2006

Modeling the time-varying microstructure of simulated sleep EEG spindles using time-frequency analysis methods.

Petros Xanthopoulos, Spyretta Golemati, Vangelis Sakkalis, Periklis Y. Ktonas, Michalis E. Zervakis, Constantin R. Soldatos

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

Sleep spindle detection using artificial neural networks trained with filtered time-domain EEG: A feasibility study.

Errikos M. Ventouras, Efstratia A. Monoyiou, Periklis Y. Ktonas, Thomas Paparrigopoulos, Dimitris G. Dikeos, Nikolaos K. Uzunoglu, Constantin R. Soldatos

Comput. Methods Programs Biomed., 2005

1989

Context-based automated detection of epileptogenic sharp transients in the EEG: elimination of false positives.

John R. Glover Jr., Narasimhan Raghaven, Periklis Y. Ktonas, James D. Frost Jr.

IEEE Trans. Biomed. Eng., 1989