A comprehensive survey of brain interface technology designs.
In this work we present the first comprehensive survey of Brain Interface (BI) technology designs published prior to January 2006. Detailed results from this survey, which was based on the Brain Interface Design Framework proposed by Mason and Birch, are presented and discussed to address the following research questions: (1) which BI technologies are directly comparable, (2) what technology designs exist, (3) which application areas (users, activities and environments) have been targeted in these designs, (4) which design approaches have received little or no research and are possible opportunities for new technology, and (5) how well are designs reported. The results of this work demonstrate that meta-analysis of high-level BI design attributes is possible and informative. The survey also produced a valuable, historical cross-reference where BI technology designers can identify what types of technology have been proposed and by whom.
Mason
S G
SG
Neil Squire Society, Brain Interface Laboratory, 220-2250 Boundary Road, Burnaby, Canada V5M 3Z3. smason@telus.net
Bashashati
A
A
Fatourechi
M
M
Navarro
K F
KF
Birch
G E
GE
D001709:Biotechnology / Q000295:instrumentation / Q000379:methods; D001921:Brain / Q000502:physiology*; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005071:Evoked Potentials / Q000502:physiology; D006801:Humans; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D012984:Software; D012985:Software Design; D013673:Technology Assessment, Biomedical; D014584:User-Computer Interface