A Review of Processing Methods and Classification Algorithm for EEG Signal
Yu Xie, Stefan Oniga
Abstract
Abstract The analysis technique of EEG signals is developing promptly with the evolution of Brain Computer- Interfaces science. The processing and classification algorithm of EEG signals includes three states: pre-processing, feature extraction and classification. The article discusses both conventional and recent processing techniques of EEG signals at the phases of preprocessing, feature extraction and classification. Finally, analyze popular research directions in the future.
Topics & Concepts
PreprocessorElectroencephalographyComputer scienceFeature extractionSignal processingPattern recognition (psychology)Artificial intelligenceFeature (linguistics)SIGNAL (programming language)Data pre-processingSpeech recognitionDigital signal processingPsychologyPsychiatryProgramming languageLinguisticsPhilosophyComputer hardwareEEG and Brain-Computer InterfacesBlind Source Separation TechniquesNeural Networks and Applications