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- W1713366473 abstract "The aim of the work is to integrate the information modula- tion of the inter-relations between EEG scalp measurements of two brain states in a connectivity graph. We present a sparse differential connec- tivity graph (SDCG) to distinguish the effectively modulated connections between epileptiform and non-epileptiform states of the brain from all the common connections created by noise, artifact, unwanted background ac- tivities and their related volume conduction effect. The proposed method is applied on real epileptic EEG data. Clustering the extracted features from SDCG may present valuable information about the epileptiform focus and their relations." @default.
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- W1713366473 date "2009-04-22" @default.
- W1713366473 modified "2023-10-18" @default.
- W1713366473 title "Sparse Differential Connectivity Graph of Scalp EEG for Epileptic Patients" @default.
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