Effective 2-D cursor control system using hybrid SSVEP + P300 visual brain computer interface.

A cursor control system based on brain-computer interface (BCI) provides efficient computer access. These systems operate without any muscular activity from the user. Conventional BCI-based cursor control systems have several limitations. Therefore, hybrid SSVEP + P300 visual BCI (VBCI)-based cursor...

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Publicado en:Medical & Biological Engineering & Computing Vol. 60; no. 11; pp. 3243 - 3255
Autor principal: Kapgate, Deepak
Formato: Journal Article
Publicado: Springer Nature Nov2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2022
      vid: 60
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      pub: Springer Nature
      place: New York, New York
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        NLM36151487
        10.1007/s11517-022-02675-0
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        atl: Effective 2-D cursor control system using hybrid SSVEP + P300 visual brain computer interface.
      aug:
        au: Kapgate, Deepak
        affil: TGPCET, Nagpur University, Nagpur, India
      sug:
        subj:
          Brain-Computer Interfaces
          Algorithms
          Electroencephalography Methods
          Evoked Potentials, Visual
          User-Computer Interface
          Physical Stimulation
      ab: A cursor control system based on brain-computer interface (BCI) provides efficient computer access. These systems operate without any muscular activity from the user. Conventional BCI-based cursor control systems have several limitations. Therefore, hybrid SSVEP + P300 visual BCI (VBCI)-based cursor control is needed to overcome these limitations. This paper explores the feasibility of using noninvasive hybrid SSVEP + P300 VBCI for cursor control as a universal form of computer access. The proposed cursor control system has a graphical user interface (GUI) design that simultaneously evokes both SSVEP and P300 signals in the human cortex. The performance metrics of the proposed system are compared with conventional SSVEP VBCI and P300 VBCI-based cursor control systems. The proposed hybrid SSVEP + P300 BCI-based cursor control system achieves a maximum accuracy of 97.51% with a 27.15 bit/min information transfer rate (ITR). The results proved that the proposed system performed more efficiently than other systems. The proposed system was tested in a noisy environment and found to be suitable for real-world applications.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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