Performance assessment in brain-computer interface-based augmentative and alternative communication
Identifieur interne : 001968 ( Main/Merge ); précédent : 001967; suivant : 001969Performance assessment in brain-computer interface-based augmentative and alternative communication
Auteurs : David E. Thompson [États-Unis] ; Stefanie Blain-Moraes [États-Unis] ; Jane E. Huggins [États-Unis]Source :
- BioMedical Engineering OnLine [ 1475-925X ] ; 2013.
Abstract
A large number of incommensurable metrics are currently used to report the performance of brain-computer interfaces (BCI) used for augmentative and alterative communication (AAC). The lack of standard metrics precludes the comparison of different BCI-based AAC systems, hindering rapid growth and development of this technology. This paper presents a review of the metrics that have been used to report performance of BCIs used for AAC from January 2005 to January 2012. We distinguish between Level 1 metrics used to report performance at the output of the BCI Control Module, which translates brain signals into logical control output, and Level 2 metrics at the Selection Enhancement Module, which translates logical control to semantic control. We recommend that: (1) the commensurate metrics Mutual Information or Information Transfer Rate (ITR) be used to report Level 1 BCI performance, as these metrics represent information throughput, which is of interest in BCIs for AAC; 2) the BCI-Utility metric be used to report Level 2 BCI performance, as it is capable of handling all current methods of improving BCI performance; (3) these metrics should be supplemented by information specific to each unique BCI configuration; and (4) studies involving Selection Enhancement Modules should report performance at both Level 1 and Level 2 in the BCI system. Following these recommendations will enable efficient comparison between both BCI Control and Selection Enhancement Modules, accelerating research and development of BCI-based AAC systems.
Url:
DOI: 10.1186/1475-925X-12-43
PubMed: 23680020
PubMed Central: 3662584
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Thompson</name><affiliation wicri:level="2"><nlm:aff id="I1">Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI</wicri:regionArea><placeName><region type="state">Michigan</region></placeName></affiliation></author><author><name sortKey="Blain Moraes, Stefanie" sort="Blain Moraes, Stefanie" uniqKey="Blain Moraes S" first="Stefanie" last="Blain-Moraes">Stefanie Blain-Moraes</name><affiliation wicri:level="2"><nlm:aff id="I2">Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI</wicri:regionArea><placeName><region type="state">Michigan</region></placeName></affiliation></author><author><name sortKey="Huggins, Jane E" sort="Huggins, Jane E" uniqKey="Huggins J" first="Jane E" last="Huggins">Jane E. 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Thompson</name><affiliation wicri:level="2"><nlm:aff id="I1">Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI</wicri:regionArea><placeName><region type="state">Michigan</region></placeName></affiliation></author><author><name sortKey="Blain Moraes, Stefanie" sort="Blain Moraes, Stefanie" uniqKey="Blain Moraes S" first="Stefanie" last="Blain-Moraes">Stefanie Blain-Moraes</name><affiliation wicri:level="2"><nlm:aff id="I2">Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI</wicri:regionArea><placeName><region type="state">Michigan</region></placeName></affiliation></author><author><name sortKey="Huggins, Jane E" sort="Huggins, Jane E" uniqKey="Huggins J" first="Jane E" last="Huggins">Jane E. Huggins</name><affiliation wicri:level="2"><nlm:aff id="I1">Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI</wicri:regionArea><placeName><region type="state">Michigan</region></placeName></affiliation><affiliation wicri:level="2"><nlm:aff id="I2">Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI</wicri:regionArea><placeName><region type="state">Michigan</region></placeName></affiliation></author></analytic><series><title level="j">BioMedical Engineering OnLine</title><idno type="eISSN">1475-925X</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>A large number of incommensurable metrics are currently used to report the performance of brain-computer interfaces (BCI) used for augmentative and alterative communication (AAC). The lack of standard metrics precludes the comparison of different BCI-based AAC systems, hindering rapid growth and development of this technology. This paper presents a review of the metrics that have been used to report performance of BCIs used for AAC from January 2005 to January 2012. We distinguish between Level 1 metrics used to report performance at the output of the BCI Control Module, which translates brain signals into logical control output, and Level 2 metrics at the Selection Enhancement Module, which translates logical control to semantic control. We recommend that: (1) the commensurate metrics Mutual Information or Information Transfer Rate (ITR) be used to report Level 1 BCI performance, as these metrics represent information throughput, which is of interest in BCIs for AAC; 2) the BCI-Utility metric be used to report Level 2 BCI performance, as it is capable of handling all current methods of improving BCI performance; (3) these metrics should be supplemented by information specific to each unique BCI configuration; and (4) studies involving Selection Enhancement Modules should report performance at both Level 1 and Level 2 in the BCI system. Following these recommendations will enable efficient comparison between both BCI Control and Selection Enhancement Modules, accelerating research and development of BCI-based AAC systems.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Venkatagiri, H" uniqKey="Venkatagiri H">H Venkatagiri</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Glennen, Sl" uniqKey="Glennen S">SL Glennen</name></author><author><name sortKey="Decoste, Dc" uniqKey="Decoste D">DC DeCoste</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Tai, K" uniqKey="Tai K">K Tai</name></author><author><name sortKey="Blain, S" uniqKey="Blain S">S Blain</name></author><author><name sortKey="Chau, T" uniqKey="Chau T">T Chau</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Mason, Sg" uniqKey="Mason S">SG Mason</name></author><author><name sortKey="Birch, Ge" 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P">P Anderer</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Simpson, Rc" uniqKey="Simpson R">RC Simpson</name></author><author><name sortKey="Koesten, Hh" uniqKey="Koesten H">HH Koesten</name></author></analytic></biblStruct></listBibl></div1></back></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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