Brain-computer interface (BCI): a methodological proposal to assess the impacts of medical applications in 2022

Detalhes bibliográficos
Autor(a) principal: Velloso, Gabriel T.
Data de Publicação: 2012
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/10384
Resumo: Based on the report for “Project IV” unit of the PhD programme on Technology Assessment (Doctoral Conference) at Universidade Nova de Lisboa (December 2011). This thesis research has the supervision of António Moniz (FCT-UNL and ITAS-KIT) and Armin Grunwald (Karlsruhe Institute of Technology-ITAS, Germany). Other members of the thesis committee are Mário Forjaz Secca (FCT-UNL) and Femke Nijboer (University of Twente, Netherlands).
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spelling Brain-computer interface (BCI): a methodological proposal to assess the impacts of medical applications in 2022Brain-machine interfacesBrain-computer interfacesEmerging technologiesConstructive technology AssessmentTechnology assessmentBased on the report for “Project IV” unit of the PhD programme on Technology Assessment (Doctoral Conference) at Universidade Nova de Lisboa (December 2011). This thesis research has the supervision of António Moniz (FCT-UNL and ITAS-KIT) and Armin Grunwald (Karlsruhe Institute of Technology-ITAS, Germany). Other members of the thesis committee are Mário Forjaz Secca (FCT-UNL) and Femke Nijboer (University of Twente, Netherlands).Technology assessment is essentially an approach, a collective of the systematic methods used to scientifically investigate the conditions for and the consequences of technology and technicising and to denote their societal evaluation. It is an investigation about the technological developments as well as an evaluation of its potential impacts on society. The assessment of emerging technologies, however, requires special attention. Brain-Computer Interface (BCI) is an emerging technology which allows for the direct communication between the brain and an external device. It is a truly direct connection, with no use of the normal output pathways of peripheral nerves and muscles, allowing for the brain to have control over objects and software without intermediates. To address these kinds of technologies at early stages of development, Constructive Technology Assessment (CTA), a member of Technology Assessment approaches, has been considered as one of the most fitting approaches. As an emerging technology, BCI is at its early stages of research and thus many challenges are still ahead. Mainstream adoption is not expected in least 10 years many challenges are yet to be overcome. Therefore, the objective of this article is to discuss and present a methodological approach to assess brain-computer interface technology considering constructive technology assessment and future oriented technology analysis as the main processes to undertake the assessment. The assessment will focus only on the non-invasive type of BCI and for medical applications in three defined areas: Communication & Control, Motor Substitution and Motor Recovery for a time horizon of 10 years, 2022. These areas were chosen based on the capability of BCI to serve as a replacement of normal neuromuscular pathways. That makes it one of the best technologies to help people in activating and controlling assistive technologies which enable communication and control of the environment. However, the real impacts of BCI will depend directly on the development of competing technologies, and also on the improvement in BCI research. Only then, the potential applications and end users could grow dramatically.António Moniz, Armin GrunwaldIETRUNVelloso, Gabriel T.2013-09-10T08:57:15Z2012-122012-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/10384engVelloso, Gabriel T. (2012), Brain-Computer Interface (BCI): a methodological proposal to assess the impacts of medical applications in 2022 , Enterprise and Work Innovation Studies, No. 8, IET, pp. 57-812182-5114info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T03:44:08Zoai:run.unl.pt:10362/10384Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:19:26.557966Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Brain-computer interface (BCI): a methodological proposal to assess the impacts of medical applications in 2022
title Brain-computer interface (BCI): a methodological proposal to assess the impacts of medical applications in 2022
spellingShingle Brain-computer interface (BCI): a methodological proposal to assess the impacts of medical applications in 2022
Velloso, Gabriel T.
Brain-machine interfaces
Brain-computer interfaces
Emerging technologies
Constructive technology Assessment
Technology assessment
title_short Brain-computer interface (BCI): a methodological proposal to assess the impacts of medical applications in 2022
title_full Brain-computer interface (BCI): a methodological proposal to assess the impacts of medical applications in 2022
title_fullStr Brain-computer interface (BCI): a methodological proposal to assess the impacts of medical applications in 2022
title_full_unstemmed Brain-computer interface (BCI): a methodological proposal to assess the impacts of medical applications in 2022
title_sort Brain-computer interface (BCI): a methodological proposal to assess the impacts of medical applications in 2022
author Velloso, Gabriel T.
author_facet Velloso, Gabriel T.
author_role author
dc.contributor.none.fl_str_mv RUN
dc.contributor.author.fl_str_mv Velloso, Gabriel T.
dc.subject.por.fl_str_mv Brain-machine interfaces
Brain-computer interfaces
Emerging technologies
Constructive technology Assessment
Technology assessment
topic Brain-machine interfaces
Brain-computer interfaces
Emerging technologies
Constructive technology Assessment
Technology assessment
description Based on the report for “Project IV” unit of the PhD programme on Technology Assessment (Doctoral Conference) at Universidade Nova de Lisboa (December 2011). This thesis research has the supervision of António Moniz (FCT-UNL and ITAS-KIT) and Armin Grunwald (Karlsruhe Institute of Technology-ITAS, Germany). Other members of the thesis committee are Mário Forjaz Secca (FCT-UNL) and Femke Nijboer (University of Twente, Netherlands).
publishDate 2012
dc.date.none.fl_str_mv 2012-12
2012-12-01T00:00:00Z
2013-09-10T08:57:15Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/10384
url http://hdl.handle.net/10362/10384
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Velloso, Gabriel T. (2012), Brain-Computer Interface (BCI): a methodological proposal to assess the impacts of medical applications in 2022 , Enterprise and Work Innovation Studies, No. 8, IET, pp. 57-81
2182-5114
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv IET
publisher.none.fl_str_mv IET
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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