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KES
2006
Springer
15 years 11 days ago
Spiking Neural Network Based Classification of Task-Evoked EEG Signals
This paper presents an improved technique to detect evoked potentials in continuous EEG recordings using a spiking neural network. Human EEG signals recorded during spell checking,...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...
KES
2008
Springer
15 years 11 days ago
On the use of spiking neural network for EEG classification
This paper presents a new classification technique of continuous EEG recordings, based on a network of spiking neurons. Human EEG signals published on the BCI Competition website w...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...
113
Voted
CBMS
2007
IEEE
15 years 18 days ago
A Time-Frequency Based Method for the Detection of Epileptic Seizures in EEG Recordings
A novel three-stage method for the analysis of electroencephalographic (EEG) signals, concerning epileptic seizures, is proposed. First, segments of the EEG signals are analyzed u...
Alexandros T. Tzallas, Markos G. Tsipouras, Dimitr...
94
Voted
ENGL
2006
99views more  ENGL 2006»
15 years 13 days ago
A Patient Specific Neural Networks (MLP) for Optimization of Fuzzy Outputs in Classification of Epilepsy Risk Levels from EEG Si
In recent years Neural Networks have been widely used as pattern and statistical classifiers in bio medical engineering. Most research to date using hybrid systems (Fuzzy-Neuro) fo...
R. Sukanesh, R. Harikumar
93
Voted
KES
2008
Springer
15 years 11 days ago
Epileptic Seizure Classification Using Neural Networks with 14 Features
Epilepsy is one of the most frequent neurological disorders. The main method used in epilepsy diagnosis is electroencephalogram (EEG) signal analysis. However this method requires ...
Rui P. Costa, Pedro Oliveira, Guilherme Rodrigues,...