The presented study aims to evaluate possibility of separation of epileptic activity from the EEG data using two well known and two recently proposed algorithms for independent component analysis (ICA): FastICA, EFICA, SOBI and WASOBI. All these techniques are shown to allow to concentrate an epileptic activityin two epilepsy-related independent components out of 19 channel EEG recordings. Among the techniques, the WASOBI was shown to be a most effective one
Because of the distance between the skull and brain and their dier-ent resistivities, electroencepha...
A system for isolating seizure components in the epileptic electroencephalogram (EEG) is presented. ...
W artykule przedstawiono analizę składowych niezależ- (ICA) jako narzędzie do separacji i usuwania ...
Manually reviewing EEG (Electroencephalogram) recordings, for detection of electrographical patterns...
Independent Component Analysis (ICA) plays an important role in biomedical engineering. Indeed, the ...
International audienceAs a non-invasive technique, Electroencephalogra-phy (EEG) is commonly used to...
Abstract. Independent Component Analysis (ICA) plays an important role in biomedical engineering. In...
In this paper we contrast three implementations of Independent Component Analysis (ICA) as applied t...
Objective: We propose a method that allows the separation of epileptiform discharges (EDs) from the ...
Purpose of this research is to extract features associated with human brain signal related to electr...
Abstract. Application and quality assessment of four different algorithms in running temporal indepe...
Here we present a method for classifying fMRI independent components (ICs) by using an optimized alg...
Blind separation of the electroencephalogram signals (EEGs) using topographic independent component ...
Here we present a method for classifying fMRI independent components (ICs) by using an optimized alg...
International audienceSeveral studies dealing with brain computer interfaces (BCI) were conducted us...
Because of the distance between the skull and brain and their dier-ent resistivities, electroencepha...
A system for isolating seizure components in the epileptic electroencephalogram (EEG) is presented. ...
W artykule przedstawiono analizę składowych niezależ- (ICA) jako narzędzie do separacji i usuwania ...
Manually reviewing EEG (Electroencephalogram) recordings, for detection of electrographical patterns...
Independent Component Analysis (ICA) plays an important role in biomedical engineering. Indeed, the ...
International audienceAs a non-invasive technique, Electroencephalogra-phy (EEG) is commonly used to...
Abstract. Independent Component Analysis (ICA) plays an important role in biomedical engineering. In...
In this paper we contrast three implementations of Independent Component Analysis (ICA) as applied t...
Objective: We propose a method that allows the separation of epileptiform discharges (EDs) from the ...
Purpose of this research is to extract features associated with human brain signal related to electr...
Abstract. Application and quality assessment of four different algorithms in running temporal indepe...
Here we present a method for classifying fMRI independent components (ICs) by using an optimized alg...
Blind separation of the electroencephalogram signals (EEGs) using topographic independent component ...
Here we present a method for classifying fMRI independent components (ICs) by using an optimized alg...
International audienceSeveral studies dealing with brain computer interfaces (BCI) were conducted us...
Because of the distance between the skull and brain and their dier-ent resistivities, electroencepha...
A system for isolating seizure components in the epileptic electroencephalogram (EEG) is presented. ...
W artykule przedstawiono analizę składowych niezależ- (ICA) jako narzędzie do separacji i usuwania ...