Utilizing VR-BCI for motor function rehabilitation.

Brain-computer interface (BCI) is a promising interactive technology for restoring motor function in patients with motor neuron diseases. Combining virtual reality (VR) with BCI has shown better rehabilitation results, yet research and practical applications remain limited, especially in Vietnam. Th...

Descripción completa

Detalles Bibliográficos
Publicado en:Technology & Disability Vol. 37; no. 4; pp. 405 - 424
Autores principales: Thi Chau, Ma, Nguyen Minh, Kien, Vu Thanh, Long, Nguyen The, Hoang Anh, Huynh Thi Nhu, Y, Dang Huynh, Loc, Doan Van Anh, Vu, Vo Ngoc, Duy, Hoang Tien Trong, Nghia
Formato: pictorial research tables/charts tracings Journal Article
Publicado: Sage Publications Inc. Nov2025
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188443860&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 188443860
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        10554181
        3QS
      jtl: Technology & Disability
      issn: 10554181
      maglogo: N
    pubinfo:
      dt: Nov2025
      vid: 37
      iid: 4
      pid: 344
      pub: Sage Publications Inc.
      place: Thousand Oaks, California
    artinfo:
      ui:
        188443860
        185180683
        188443860
        188443860
        10.1177/10554181251340662
        188443860
      ppf: 405
      ppct: 19
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Utilizing VR-BCI for motor function rehabilitation.
      aug:
        au:
          Thi Chau, Ma
          Nguyen Minh, Kien
          Vu Thanh, Long
          Nguyen The, Hoang Anh
          Huynh Thi Nhu, Y
          Dang Huynh, Loc
          Doan Van Anh, Vu
          Vo Ngoc, Duy
          Hoang Tien Trong, Nghia
        affil: University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam
      sug:
        subj:
          Motor Neuron Diseases Rehabilitation
          Virtual Reality Utilization
          Brain-Computer Interfaces Utilization
          Treatment Outcomes Evaluation
          Motor Skills
          Human
          Funding Source
          Vietnam
          Male
          Female
          Adult
          Middle Age
          Aged
          Neuronal Plasticity
          Recovery
          Electroencephalography
          Stroke Rehabilitation
          NIH Stroke Scale
          Scales
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      ab: Brain-computer interface (BCI) is a promising interactive technology for restoring motor function in patients with motor neuron diseases. Combining virtual reality (VR) with BCI has shown better rehabilitation results, yet research and practical applications remain limited, especially in Vietnam. This research aims to introduce a comprehensive VR-BCI system to aid patients with motor function impairments in the recovering process. This approach seeks to improve neuroplasticity and recovery through immersive interactions, also advancing the development of effective rehabilitation tools, particularly in developing countries with limited access to advanced medical technologies, such as Vietnam. Using affordable Electroencephalogram (EEG) and VR devices, the system is optimized for Vietnamese healthcare standards, providing an accessible solution for home-based therapy. Key features include EEG data processing through digital signal processing techniques, custom-designed VR scenarios, and personalized exercise modules. Initial trials with five stroke patients show promising improvements in motor control, particularly in 2 patients with minimal signal interference and high engagement. Feedback from users and healthcare professionals highlights the system's usability and potential to improve motor rehabilitation outcomes.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        tracings
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N