Add to ORKGThis study, starting from the results of a previous work, analyzes in more details the EEG patterns of subjects affected by epilepsy and in particular by partial complex crypto-genetic seizures. The interpretation of such signals was made by means of multiresolution wavelet analysis. The results appear encouraging
The characterization of the dynamics associated with electroencephalogram (EEG) signal combining an ...
In this work, wavelet transform (WT) is used to analyze epileptic seizure in recorded EEG signals. W...
This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals...
This study, starting from the results of a previous work, analyzes in more details the EEG patterns ...
This paper reports on a multiresolution analysis of EEG signals. The dominant frequency components o...
Electroencephalography (EEG) is the recording of electrical activity along the scalp produced by the...
In our study, we investigated the properties of electroencephalogram (EEG) of humans experiencing ep...
AbstractElectroencephalography (EEG) is an important tool for studying the human brain activity and ...
The study proposes a new method for the interpretation of EEG signal, whose reading and understandi...
Human normal and epileptic electroencephalogram (EEG) signals have been analyzed using Fourier Trans...
The aim of this work is to perform. an advanced signal processing by means of multiresolution wavele...
International audienceThis paper presents a statistical signal processing method for the characteriz...
EEG-based epilepsy diagnosis and seizure detection is still in its early experimental stages. Studie...
This paper presents a statistical signal processing method for the characterization of EEG of patien...
This paper is aimed at understanding epileptic patient disorders through the analysis of surface ele...
The characterization of the dynamics associated with electroencephalogram (EEG) signal combining an ...
In this work, wavelet transform (WT) is used to analyze epileptic seizure in recorded EEG signals. W...
This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals...
This study, starting from the results of a previous work, analyzes in more details the EEG patterns ...
This paper reports on a multiresolution analysis of EEG signals. The dominant frequency components o...
Electroencephalography (EEG) is the recording of electrical activity along the scalp produced by the...
In our study, we investigated the properties of electroencephalogram (EEG) of humans experiencing ep...
AbstractElectroencephalography (EEG) is an important tool for studying the human brain activity and ...
The study proposes a new method for the interpretation of EEG signal, whose reading and understandi...
Human normal and epileptic electroencephalogram (EEG) signals have been analyzed using Fourier Trans...
The aim of this work is to perform. an advanced signal processing by means of multiresolution wavele...
International audienceThis paper presents a statistical signal processing method for the characteriz...
EEG-based epilepsy diagnosis and seizure detection is still in its early experimental stages. Studie...
This paper presents a statistical signal processing method for the characterization of EEG of patien...
This paper is aimed at understanding epileptic patient disorders through the analysis of surface ele...
The characterization of the dynamics associated with electroencephalogram (EEG) signal combining an ...
In this work, wavelet transform (WT) is used to analyze epileptic seizure in recorded EEG signals. W...
This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals...