Brain computer interface: Estimation of cortical activity from non invasive high resolution EEG recordings

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 26 VI, Issue , 2004, Pages 4375-4376

  Babiloni, F ^b   Cincotti, F ^a   Mattiocco, M ^a   Timperi, A ^a   Salinari, S ^b   Marciani, M G ^a,c   Donatella, M ^a  

^a IRCCS FONDAZIONE SANTA LUCIA   (Italy)

^b SAPIENZA UNIVERSITY OF ROME   (Italy)

^c UNIVERSITY OF ROME TOR VERGATA   (Italy)

Author keywords

Brain Computer Interface; High resolution EEG; Imagination of movements

Indexed keywords

ALGORITHMS; CURRENT DENSITY; ELECTROENCEPHALOGRAPHY; HUMAN COMPUTER INTERACTION; MAGNETIC RESONANCE IMAGING;

BRAIN COMPUTER INTERFACE; HIGH RESOLUTION EEG; IMAGINATION OF MOVEMENTS;

BRAIN;

EID: 11144260110     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Gevins A, Brickett P, Costales B, Le J, Reutter B. Beyond topographic mapping: towards functional-anatomical imaging with 124-channel EEG and 3-D MRIs. Brain Topogr 1990;1:53-64.
2. Cincotti F., Mattia D., Babiloni C., et al. Classification of EEG mental patterns by using two scalp electrodes and Mahalanobis distance-based classifiers. Methods Inf. Med., 2002, vol. 41, n° 4, pp. 337-341.
3. Babiloni F., Babiloni C., L. Locche, et al., High resolution EEG: source estimates of Laplacian-transformed somatosensoryevoked potentials using a realistic subject head model constructed from magnetic resonance images, Medical & Biological Engineering & Computing, 2000, 38:512-519