Analyzing trends in brain interface technology: a method to compare studies.

Abstract:

:Continued progress in the field of Brain Interface (BI) research has encouraged the rapid expansion of the BI community over the last two decades. As the number of BI researchers and organizations steadily increases, newer and more advanced technologies are constantly produced, evaluated, and reported. Though the BI community is committed to accurate and objective evaluation of methods, systems, and technology, the diversity of the field has hindered the development of objective methods of comparison. This paper introduces a new method for directly comparing studies of BI technology based on the theoretical models and taxonomy proposed by Mason, Moore, and Birch. The effectiveness of the proposed method was demonstrated by interpreting and comparing a representative set of 21 BI studies. The method allowed us to 1) identify the salient aspects of a specific BI study, 2) identify what has been reported and what has been omitted, 3) facilitate a complete and objective comparison with other studies, and 4) characterize overall trends, areas of inactivity, and reporting practices.

journal_name

Ann Biomed Eng

authors

Jackson MM,Mason SG,Birch GE

doi

10.1007/s10439-005-9055-7

subject

Has Abstract

pub_date

2006-05-01 00:00:00

pages

859-78

issue

5

eissn

0090-6964

issn

1573-9686

journal_volume

34

pub_type

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