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Exploring methodological frameworks for a mental task-based near-infrared spectroscopy brain-computer interface.

Sabine Weyand1, Kaori Takehara-Nishiuchi2, Tom Chau1

  • 1Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, Canada M4G 1R8; Institute of Biomaterials and Biomedical Engineering, University of Toronto, 164 College St, Toronto, ON, Canada M5S 3G9.

Journal of Neuroscience Methods
|July 25, 2015
PubMed
Summary
This summary is machine-generated.

Personalized tasks for near-infrared spectroscopy (NIRS) brain-computer interfaces (BCIs) show superior accuracy and ease-of-use compared to prescribed tasks. This research explored novel personalized task selection frameworks for NIRS-BCI control.

Keywords:
AccuracyBrain–computer interfaceEase-of-useNear-infrared spectroscopyPersonalized mental tasksPrescribed mental tasks

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Near-infrared spectroscopy (NIRS) brain-computer interfaces (BCIs) allow users to interact with their environment using cognitive activities.
  • This study compares four frameworks for selecting task pairs to control a binary NIRS-BCI.

Purpose of the Study:

  • To compare the effectiveness of three novel personalized task selection paradigms against the state-of-the-art prescribed task framework for NIRS-BCIs.
  • To evaluate frameworks based on accuracy, ease-of-use, computational time, user preference, and training duration.

Main Methods:

  • Three personalized task selection approaches were tested: user-selected tasks using weighted slope scores (WS-scores), user-selected tasks using pair-wise accuracy rankings (PWAR), and researcher-selected tasks using PWAR.
  • These personalized paradigms were compared with the prescribed task framework, using data from ten able-bodied participants over five NIRS-BCI sessions.

Main Results:

  • Researcher-selected personalized tasks yielded significantly higher accuracy.
  • User-selected personalized tasks demonstrated significantly higher perceived ease-of-use.
  • PWAR minimized data collection, WS-scores maximized user satisfaction and minimized computational time.

Conclusions:

  • Personalized tasks are generally superior to prescribed tasks for NIRS-BCIs, offering better accuracy and perceived ease-of-use.
  • Future NIRS-BCI research should consider and further investigate the deployment of personalized mental tasks over prescribed ones.