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Removal of EOG artifacts and separation of different cerebral activity components from single channel EEG—An efficient approach combining SSA–ICA with wavelet thresholding for BCI applications

Sayedu Khasim Noorbasha, Gnanou Florence Sudha

2020Biomedical Signal Processing and Control59 citationsDOI

Topics & Concepts

Independent component analysisElectroencephalographyComputer scienceArtifact (error)ThresholdingBlind signal separationArtificial intelligencePattern recognition (psychology)Brain–computer interfaceSIGNAL (programming language)Noise (video)Speech recognitionChannel (broadcasting)WaveletSource separationTelecommunicationsImage (mathematics)PsychologyPsychiatryProgramming languageEEG and Brain-Computer InterfacesBlind Source Separation TechniquesECG Monitoring and Analysis
Removal of EOG artifacts and separation of different cerebral activity components from single channel EEG—An efficient approach combining SSA–ICA with wavelet thresholding for BCI applications | Litcius