Literature DB >> 25595535

Technology transfer of brain-computer interfaces as assistive technology: barriers and opportunities.

F Nijboer1.   

Abstract

This paper provides an analysis of perspectives from different stakeholders on the state-of-the-art of BCI. Three barriers for technology transfer of BCIs as access technologies are identified. First, BCIs are developed with a narrow focus on creating a reliable technology, while a broader focus on creating a usable technology is needed. Second, the potential target group, which could benefit from BCIs as access technologies is expected to be very small. Development costs are therefore high, while reimbursements are expected to be low, which challenges the commercial viability. Third, potential target users should be much more included in the design process of BCIs to ensure that the end-products meet technical, ethical, legal and social requirements. These three issues need to be urgently addressed so that target users may benefit from this promising technology.
Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Assistive technology; Brain-computer interface; Design; Ethics; Locked-in syndrome; Technology Transfer

Mesh:

Year:  2015        PMID: 25595535     DOI: 10.1016/j.rehab.2014.11.001

Source DB:  PubMed          Journal:  Ann Phys Rehabil Med        ISSN: 1877-0657


  12 in total

1.  Workshops of the Seventh International Brain-Computer Interface Meeting: Not Getting Lost in Translation.

Authors:  Jane E Huggins; Christoph Guger; Erik Aarnoutse; Brendan Allison; Charles W Anderson; Steven Bedrick; Walter Besio; Ricardo Chavarriaga; Jennifer L Collinger; An H Do; Christian Herff; Matthias Hohmann; Michelle Kinsella; Kyuhwa Lee; Fabien Lotte; Gernot Müller-Putz; Anton Nijholt; Elmar Pels; Betts Peters; Felix Putze; Rüdiger Rupp; Gerwin Schalk; Stephanie Scott; Michael Tangermann; Paul Tubig; Thorsten Zander
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2019-12-10

2.  On the way home: a BCI-FES hand therapy self-managed by sub-acute SCI participants and their caregivers: a usability study.

Authors:  Anna Zulauf-Czaja; Manaf K H Al-Taleb; Mariel Purcell; Nina Petric-Gray; Jennifer Cloughley; Aleksandra Vuckovic
Journal:  J Neuroeng Rehabil       Date:  2021-02-25       Impact factor: 4.262

3.  Keeping Disability in Mind: A Case Study in Implantable Brain-Computer Interface Research.

Authors:  Laura Specker Sullivan; Eran Klein; Tim Brown; Matthew Sample; Michelle Pham; Paul Tubig; Raney Folland; Anjali Truitt; Sara Goering
Journal:  Sci Eng Ethics       Date:  2017-06-22       Impact factor: 3.525

4.  Considering Augmentative and Alternative Communication Research for Brain-Computer Interface Practice.

Authors:  Kevin M Pitt; Jonathan S Brumberg; Adrienne R Pitt
Journal:  Assist Technol Outcomes Benefits       Date:  2019

Review 5.  Ethical aspects of brain computer interfaces: a scoping review.

Authors:  Sasha Burwell; Matthew Sample; Eric Racine
Journal:  BMC Med Ethics       Date:  2017-11-09       Impact factor: 2.652

6.  Improving brain computer interface research through user involvement - The transformative potential of integrating civil society organisations in research projects.

Authors:  Bernd Carsten Stahl; Kutoma Wakunuma; Stephen Rainey; Christian Hansen
Journal:  PLoS One       Date:  2017-02-16       Impact factor: 3.240

Review 7.  Proactive Ethical Design for Neuroengineering, Assistive and Rehabilitation Technologies: the Cybathlon Lesson.

Authors:  Marcello Ienca; Reto W Kressig; Fabrice Jotterand; Bernice Elger
Journal:  J Neuroeng Rehabil       Date:  2017-11-14       Impact factor: 4.262

8.  Fully Implanted Brain-Computer Interface in a Locked-In Patient with ALS.

Authors:  Mariska J Vansteensel; Elmar G M Pels; Erik J Aarnoutse; Martin G Bleichner; Mariana P Branco; Timothy Denison; Zachary V Freudenburg; Peter Gosselaar; Sacha Leinders; Thomas H Ottens; Max A Van Den Boom; Peter C Van Rijen; Nick F Ramsey
Journal:  N Engl J Med       Date:  2016-11-12       Impact factor: 91.245

9.  Estimated Prevalence of the Target Population for Brain-Computer Interface Neurotechnology in the Netherlands.

Authors:  Elmar G M Pels; Erik J Aarnoutse; Nick F Ramsey; Mariska J Vansteensel
Journal:  Neurorehabil Neural Repair       Date:  2017-06-22       Impact factor: 3.919

10.  On the Relationship Between Attention Processing and P300-Based Brain Computer Interface Control in Amyotrophic Lateral Sclerosis.

Authors:  Angela Riccio; Francesca Schettini; Luca Simione; Alessia Pizzimenti; Maurizio Inghilleri; Marta Olivetti-Belardinelli; Donatella Mattia; Febo Cincotti
Journal:  Front Hum Neurosci       Date:  2018-05-28       Impact factor: 3.169

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