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A Comprehensive Survey of Brain Interface Technology Designs

Overview of attention for article published in Annals of Biomedical Engineering, November 2006
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Title
A Comprehensive Survey of Brain Interface Technology Designs
Published in
Annals of Biomedical Engineering, November 2006
DOI 10.1007/s10439-006-9170-0
Pubmed ID
Authors

S. G. Mason, A. Bashashati, M. Fatourechi, K. F. Navarro, G. E. Birch

Abstract

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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 296 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 4%
Brazil 4 1%
Canada 4 1%
France 3 1%
Italy 2 <1%
Poland 2 <1%
Germany 2 <1%
Hong Kong 1 <1%
Austria 1 <1%
Other 15 5%
Unknown 251 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 22%
Student > Master 50 17%
Researcher 44 15%
Professor 24 8%
Professor > Associate Professor 20 7%
Other 61 21%
Unknown 33 11%
Readers by discipline Count As %
Engineering 101 34%
Computer Science 64 22%
Medicine and Dentistry 18 6%
Neuroscience 18 6%
Agricultural and Biological Sciences 17 6%
Other 30 10%
Unknown 48 16%