This paper reports on a multiresolution analysis of EEG signals. The dominant frequency components of signals with and without observed epileptic discharges were compared. The study showed that there were significant differences in dominant frequency between the signals with epileptic discharges and the signals without discharges. This gives the ability to identify epilepsy during EEG examination. The frequency of the signals coming from the frontal, central, parietal and occipital channels are similar. Multiresolution analysis can be used to describe the activity of brain waves and to try to predict epileptic seizures, thereby contributing to precise medical diagnoses
Two different operational procedures are proposed for evaluating and predicting the onset of epilept...
The thesis treats methods for pattern recognition in multichannel electroencephalogram (EEG) signals...
Abstract Background The spectral information of the EEG signal with respect to epilepsy is examined ...
This study, starting from the results of a previous work, analyzes in more details the EEG patterns ...
As a suddenly abnormal discharge of brain neurons, epilepsy can lead to encephalographic (EEG) abnor...
In our study, we investigated the properties of electroencephalogram (EEG) of humans experiencing ep...
As a suddenly abnormal discharge of brain neurons, epilepsy can lead to encephalographic (EEG) abnor...
This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals...
The electroencephalogram (EEG) signal contains a plethora of information regarding a human brain an...
© 2015, Education and Upbringing Publishing. All rights reserved. Here we demonstrate a capability o...
Epilepsy is a critical neurological disorder resulting from abnormal hyper-excitability of neurons i...
A technique proposed for the automatic detection of spikes in electroencephalograms (EEG). A multi-r...
The pathways by which epileptic seizures propagate through the brain are unknown. Since the speed of...
Various epileptic discharge detection studies have been conducted however, not many clinically signi...
International audienceThis paper presents a statistical signal processing method for the characteriz...
Two different operational procedures are proposed for evaluating and predicting the onset of epilept...
The thesis treats methods for pattern recognition in multichannel electroencephalogram (EEG) signals...
Abstract Background The spectral information of the EEG signal with respect to epilepsy is examined ...
This study, starting from the results of a previous work, analyzes in more details the EEG patterns ...
As a suddenly abnormal discharge of brain neurons, epilepsy can lead to encephalographic (EEG) abnor...
In our study, we investigated the properties of electroencephalogram (EEG) of humans experiencing ep...
As a suddenly abnormal discharge of brain neurons, epilepsy can lead to encephalographic (EEG) abnor...
This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals...
The electroencephalogram (EEG) signal contains a plethora of information regarding a human brain an...
© 2015, Education and Upbringing Publishing. All rights reserved. Here we demonstrate a capability o...
Epilepsy is a critical neurological disorder resulting from abnormal hyper-excitability of neurons i...
A technique proposed for the automatic detection of spikes in electroencephalograms (EEG). A multi-r...
The pathways by which epileptic seizures propagate through the brain are unknown. Since the speed of...
Various epileptic discharge detection studies have been conducted however, not many clinically signi...
International audienceThis paper presents a statistical signal processing method for the characteriz...
Two different operational procedures are proposed for evaluating and predicting the onset of epilept...
The thesis treats methods for pattern recognition in multichannel electroencephalogram (EEG) signals...
Abstract Background The spectral information of the EEG signal with respect to epilepsy is examined ...