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Assistive Technology
The Official Journal of RESNA
Volume 30, 2018 - Issue 5
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Articles

A qualitative study adopting a user-centered approach to design and validate a brain computer interface for cognitive rehabilitation for people with brain injury

, PhD, , MSc, , MSc, , PhD, , MSc, , MSc, , MSc & , MSc ORCID Icon show all
Pages 233-241 | Accepted 30 Mar 2017, Published online: 14 Jul 2017
 

ABSTRACT

Cognitive rehabilitation is established as a core intervention within rehabilitation programs following a traumatic brain injury (TBI). Digitally enabled assistive technologies offer opportunities for clinicians to increase remote access to rehabilitation supporting transition into home. Brain Computer Interface (BCI) systems can harness the residual abilities of individuals with limited function to gain control over computers through their brain waves.

This paper presents an online cognitive rehabilitation application developed with therapists, to work remotely with people who have TBI, who will use BCI at home to engage in the therapy. A qualitative research study was completed with people who are community dwellers post brain injury (end users), and a cohort of therapists involved in cognitive rehabilitation. A user-centered approach over three phases in the development, design and feasibility testing of this cognitive rehabilitation application included two tasks (Find-a-Category and a Memory Card task). The therapist could remotely prescribe activity with different levels of difficulty. The service user had a home interface which would present the therapy activities. This novel work was achieved by an international consortium of academics, business partners and service users.

Conflict of Interest

The authors claim to have no significant competing financial, professional, or personal interests that might have influenced the performance or presentation of the work described in this article.

Acknowledgements

The research leading to these results received funding from the European Community’s Seventh Framework Programme FP7/2007-2013, BackHome project grant agreement n° 288566.

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