Selection of electrode positions for an EEG-based brain computer interface (BCI).
One major question in designing an EEG-based Brain Computer Interface to bypass the normal motor pathways is the selection of proper electrode positions. This study investigates electrode selection with a Distinction Sensitive Learning Vector Quantizer (DSLVQ). DSLVQ is an extended Learning Vector Quantizer (LVQ) which employs a weighted distance function for dynamical scaling and feature selection. The data analysed and classified were 56-channel EEG recordings over sensorimotor areas during preparation for discrete left or right index finger flexions. Data from 3 subjects are reported. It was found by DSLVQ that the most important electrode positions for differentiation between planning of left and right finger movement overlie cortical finger/hand areas over both hemispheres.
Pregenzer
M
M
Ludwig-Boltzmann Institute of Medical Informatics and Neuroinformatic, Graz University of Technology.
Pfurtscheller
G
G
Flotzinger
D
D
D000328:Adult; D001931:Brain Mapping / Q000295:instrumentation; D004292:Dominance, Cerebral / Q000502:physiology; D004566:Electrodes; D004569:Electroencephalography / Q000295:instrumentation*; D005073:Evoked Potentials, Somatosensory / Q000502:physiology; D006801:Humans; D009043:Motor Activity / Q000502:physiology; D009044:Motor Cortex / Q000502:physiology; D012016:Reference Values; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013003:Somatosensory Cortex / Q000502:physiology; D014584:User-Computer Interface