Prediction of the side of hand movements from single-trial multi-channel EEG data using neural networks.
Thirty channels of EEG data were recorded prior to voluntary right or left hand movements. Event-related desynchronization (ERD) was quantified in the 8-10 Hz and 10-12 Hz bands in single-trial data and used as training input for a neural network comprised of a learning vector quantizer (LVQ). After a training period, the network was able to predict the side of hand movement from single-trial EEG data recorded prior to movement onset.
Department of Medical Informatics, Graz University of Technology, Austria.
G
G
Pfurtscheller
D
D
Flotzinger
W
W
Mohl
M
M
Peltoranta
D001921:Brain / Q000502:physiology*; D003344:Cortical Synchronization; D004569:Electroencephalography / Q000379:methods; D005071:Evoked Potentials / Q000502:physiology; D007839:Functional Laterality; D006225:Hand / Q000502:physiology; D006801:Humans; D009043:Motor Activity / Q000502:physiology*; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted