Application of BCI systems in neurorehabilitation: a scoping review.

Purpose: To review various types of electroencephalographic activities of the brain and present an overview of brain-computer interface (BCI) systems' history and their applications in rehabilitation. Methods: A scoping review of published English literature on BCI application in the field of rehabi...

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Publicado en:Disability & Rehabilitation: Assistive Technology Vol. 10; no. 5; pp. 355 - 365
Autores principales: Bamdad, Mahdi, Zarshenas, Homayoon, Auais, Mohammad A.
Formato: pictorial review tables/charts Journal Article
Publicado: Taylor & Francis Ltd Sep2015
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2015
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      pub: Taylor & Francis Ltd
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        atl: Application of BCI systems in neurorehabilitation: a scoping review.
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        au:
          Bamdad, Mahdi
          Zarshenas, Homayoon
          Auais, Mohammad A.
        affil: Mechanical Engineering Department, Biomechatronic Research Lab, Shahrood University of Technology Shahrood Iran and
      sug:
        subj:
          Brain-Computer Interfaces
          Rehabilitation
          Nervous System Diseases Rehabilitation
          Electroencephalography
          Virtual Reality
          Motor Skills
          Speech Disorders
          Spinal Cord Injuries
          Cerebral Palsy
          Stroke
          Amyotrophic Lateral Sclerosis
          Evoked Potentials
      ab: Purpose: To review various types of electroencephalographic activities of the brain and present an overview of brain-computer interface (BCI) systems' history and their applications in rehabilitation. Methods: A scoping review of published English literature on BCI application in the field of rehabilitation was undertaken. IEEE Xplore, ScienceDirect, Google Scholar and Scopus databases were searched since inception up to August 2012. All experimental studies published in English and discussed complete cycle of the BCI process was included in the review. Results and discussion: In total, 90 articles met the inclusion criteria and were reviewed. Various approaches that improve the accuracy and performance of BCI systems were discussed. Based on BCI's clinical application, reviewed articles were categorized into three groups: motion rehabilitation, speech rehabilitation and virtual reality control (VRC). Almost half of the reviewed papers (48%) concentrated on VRC. Speech rehabilitation and motion rehabilitation made up 33% and 19% of the reviewed papers, respectively. Among different types of electroencephalography signals, P300, steady state visual evoked potentials and motor imagery signals were the most common. Conclusions: This review discussed various applications of BCI in rehabilitation and showed how BCI can be used to improve the quality of life for people with neurological disabilities. It will develop and promote new models of communication and finally, will create an accurate, reliable, online communication between human brain and computer and reduces the negative effects of external stimuli on BCI performance.
      pubtype: Academic Journal
      doctype:
        pictorial
        review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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