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An Integrated Approach for Artifact Elimination in EEG Signals: Combining Variational Mode Decomposition with Blind Source Separation (VMD-BSS)

  • H. Massar,
  • M. Miyara,
  • T. Belhoussine Drissi,
  • B. Nsiri

摘要

Physiological artifacts, such as muscular activity, heartbeat, and eye movements, must be minimized in EEG study while maintaining neuronal information. To solve this, we put forth a brand-new hybrid strategy that combines Infomax, a Blind Source Separation (BSS) technique, with Variational Mode Decomposition (VMD), a method for reducing noise. By using measurements like the Euclidean Distance (ED) and Spearman Correlation Coefficient (SCC), our technique successfully eliminates ocular artifacts. Using 7 Intrinsic Mode Functions (IMFs), the best results are obtained. This study advances EEG artifact removal techniques and provides new information on how to analyze EEG data going forward.