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ERIC Number: EJ1005025
Record Type: Journal
Publication Date: 2013
Pages: 12
Abstractor: As Provided
Reference Count: 137
ISSN: ISSN-1040-0435
A Review of EEG-Based Brain-Computer Interfaces as Access Pathways for Individuals with Severe Disabilities
Moghimi, Saba; Kushki, Azadeh; Guerguerian, Anne Marie; Chau, Tom
Assistive Technology, v25 n2 p99-110 2013
Electroencephalography (EEG) is a non-invasive method for measuring brain activity and is a strong candidate for brain-computer interface (BCI) development. While BCIs can be used as a means of communication for individuals with severe disabilities, the majority of existing studies have reported BCI evaluations by able-bodied individuals. Considering the many differences in body functions and usage scenarios between individuals with disabilities and able-bodied individuals, involvement of the target population in BCI evaluation is necessary. In this review, 39 studies reporting EEG-oriented BCI assessment by individuals with disabilities were identified in the past decade. With respect to participant populations, a need for assessing BCI performance for the pediatric population with severe disabilities was identified as an important future direction. Acquiring a reliable communication pathway during early stages of development is crucial in avoiding learned helplessness in pediatric-onset disabilities. With respect to evaluation, augmenting traditional measures of system performance with those relating to contextual factors was recommended for realizing user-centered designs appropriate for integration in real-life. Considering indicators of user state and developing more effective training paradigms are recommended for future studies of BCI involving individuals with disabilities. (Contains 3 tables and 1 figure.)
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Publication Type: Information Analyses; Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A