Title :
Current trends in Graz brain-computer interface (BCI) research
Author :
Pfurtscheller, G. ; Neuper, C. ; Guger, C. ; Harkam, W. ; Ramoser, H. ; Schlogl, A. ; Obermaier, B. ; Pregenzer, M.
Author_Institution :
Dept. of Med. Inf., Graz Univ. of Technol., Austria
fDate :
6/1/2000 12:00:00 AM
Abstract :
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
Keywords :
electroencephalography; feature extraction; handicapped aids; medical signal processing; reviews; EEG feature classification; EEG feedback; Graz brain-computer interface research; adaptive autoregressive models; common spatial patterns; cursor control; event-related desynchronization; subject-specific EEG patterns recognition; Biomedical informatics; Brain computer interfaces; Brain modeling; Communication system control; Control systems; Electrodes; Electroencephalography; Feature extraction; Frequency; Spline;
Journal_Title :
Rehabilitation Engineering, IEEE Transactions on
