IEEE Transactions on Rehabilitation Engineering · 2000 · 520 citations · 20 references
ComputingComputer ScienceNeuroscienceHuman-computer InteractionMotor ControlMotor NeuroscienceBrain-computer InterfacesElectroencephalogram AnalysisElectroencephalographyFeature ExtractionNeural InterfacesPattern RecognitionBrain-computer Interface ClassificationClassification Algorithms For Brain-computer InterfacesCursor ControlEeg Feature ExtractionEeg Signal ProcessingElectroencephalogram ClassificationElectroencephalography Feature ExtractionElectroencephalography-based Brain-computer Interfaces
This paper describes a research approach to develop a brain-computer interface (BCI) based on recognition of subject-specific EEG patterns. EEG signals recorded from sensorimotor areas during mental imagination of specific movements are classified on-line and used e.g. for cursor control. In a number of on-line experiments, various methods for EEG feature extraction and classification have been evaluated.
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Neural networks for pattern recognition
Choice Reviews Online · 1994 · 18.7K citations
Motor imagery activates primary sensorimotor area in humans
Gert Pfurtscheller, Christa Neuper · Neuroscience Letters · 1997 · 1.1K citations