Matches in SemOpenAlex for { <https://semopenalex.org/work/W2109052158> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2109052158 endingPage "18102" @default.
- W2109052158 startingPage "18095" @default.
- W2109052158 abstract "Brain Computer Interfaces (BCI) enable people suffering from Amyotrophic Lateral Sclerosis (ALS) or severe paralysis to communicate and control using only brain signals. These signals are captured from EEG, that is relatively cost effective and non invasive. Raw EEG signals are subject to processing and feature extraction for automating the detection of changes in the amplitude of the brain signals due to imagining of a limb motion and to enable classification. The processed signal is analysed using machine learning tool and translated into interpretable form. In this manuscript, we propose an advanced feature extraction method utilizing spatial characteristics (channel information) of an EEG signal. The method maximizes inter class variance and minimizes intra class variance among the optimized spatial features to facilitate classification. Kernel based Fisher’s criterion is used for Spatial filtering which transforms the data into a suitable feature space for classification. This approach overcomes the limitation of the existing Fisher based Common Spatial Patterns and performs better in general. Experimental results on BCI Competition datasets demonstrate the effectiveness of this methodology in terms of accurate classification, in comparison to the other method." @default.
- W2109052158 created "2016-06-24" @default.
- W2109052158 creator A5089199854 @default.
- W2109052158 date "2014-12-15" @default.
- W2109052158 modified "2023-09-24" @default.
- W2109052158 title "Spatial Filter Optimization Using Gaussian Kernel for Single Electro- Encephalo Gram (EEG) Trial Classification" @default.
- W2109052158 cites W2018200772 @default.
- W2109052158 cites W2099509424 @default.
- W2109052158 cites W2108384452 @default.
- W2109052158 cites W2116308679 @default.
- W2109052158 cites W2127389037 @default.
- W2109052158 cites W2128404967 @default.
- W2109052158 cites W2131321253 @default.
- W2109052158 cites W2132299333 @default.
- W2109052158 cites W2132360759 @default.
- W2109052158 cites W2135346934 @default.
- W2109052158 cites W2141224535 @default.
- W2109052158 cites W2142280324 @default.
- W2109052158 cites W2165892205 @default.
- W2109052158 cites W2549695566 @default.
- W2109052158 doi "https://doi.org/10.15680/ijirset.2014.0312047" @default.
- W2109052158 hasPublicationYear "2014" @default.
- W2109052158 type Work @default.
- W2109052158 sameAs 2109052158 @default.
- W2109052158 citedByCount "0" @default.
- W2109052158 crossrefType "journal-article" @default.
- W2109052158 hasAuthorship W2109052158A5089199854 @default.
- W2109052158 hasBestOaLocation W21090521581 @default.
- W2109052158 hasConcept C114614502 @default.
- W2109052158 hasConcept C121475858 @default.
- W2109052158 hasConcept C147597530 @default.
- W2109052158 hasConcept C153180895 @default.
- W2109052158 hasConcept C154945302 @default.
- W2109052158 hasConcept C163716315 @default.
- W2109052158 hasConcept C185592680 @default.
- W2109052158 hasConcept C33923547 @default.
- W2109052158 hasConcept C41008148 @default.
- W2109052158 hasConcept C7218915 @default.
- W2109052158 hasConcept C74193536 @default.
- W2109052158 hasConceptScore W2109052158C114614502 @default.
- W2109052158 hasConceptScore W2109052158C121475858 @default.
- W2109052158 hasConceptScore W2109052158C147597530 @default.
- W2109052158 hasConceptScore W2109052158C153180895 @default.
- W2109052158 hasConceptScore W2109052158C154945302 @default.
- W2109052158 hasConceptScore W2109052158C163716315 @default.
- W2109052158 hasConceptScore W2109052158C185592680 @default.
- W2109052158 hasConceptScore W2109052158C33923547 @default.
- W2109052158 hasConceptScore W2109052158C41008148 @default.
- W2109052158 hasConceptScore W2109052158C7218915 @default.
- W2109052158 hasConceptScore W2109052158C74193536 @default.
- W2109052158 hasIssue "12" @default.
- W2109052158 hasLocation W21090521581 @default.
- W2109052158 hasOpenAccess W2109052158 @default.
- W2109052158 hasPrimaryLocation W21090521581 @default.
- W2109052158 hasRelatedWork W2049539567 @default.
- W2109052158 hasRelatedWork W2076520961 @default.
- W2109052158 hasRelatedWork W2103444992 @default.
- W2109052158 hasRelatedWork W2110459882 @default.
- W2109052158 hasRelatedWork W2118043379 @default.
- W2109052158 hasRelatedWork W2141018987 @default.
- W2109052158 hasRelatedWork W2141705618 @default.
- W2109052158 hasRelatedWork W2151022383 @default.
- W2109052158 hasRelatedWork W2348964713 @default.
- W2109052158 hasRelatedWork W2603933437 @default.
- W2109052158 hasVolume "03" @default.
- W2109052158 isParatext "false" @default.
- W2109052158 isRetracted "false" @default.
- W2109052158 magId "2109052158" @default.
- W2109052158 workType "article" @default.