A Review of EEG-Based Brain-Computer Interfaces as Access Pathways for Individuals with Severe Disabilities.

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...

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Publicado en:Assistive Technology Vol. 25; no. 2; pp. 99 - 111
Autores principales: Moghimi, Saba, Kushki, Azadeh, Guerguerian, Anne Marie, Chau, Tom
Formato: research systematic review tables/charts Journal Article
Publicado: Taylor & Francis Ltd Summer2013
Acceso en línea:Ver este registro en EBSCOhost
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        atl: A Review of EEG-Based Brain-Computer Interfaces as Access Pathways for Individuals with Severe Disabilities.
      aug:
        au:
          Moghimi, Saba
          Kushki, Azadeh
          Guerguerian, Anne Marie
          Chau, Tom
        affil: Institute of BiomateriaIs and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
      sug:
        subj:
          Brain
          Brain-Computer Interfaces
          Persons with Disabilities
          Electroencephalography
          CINAHL Database
          Embase
          Evoked Potentials
          Human
          Medline
          Professional Practice, Evidence-Based
          Prostheses and Implants
          Systematic Review
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        systematic review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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