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Progress in Brain Computer Interface: Challenges and Opportunities.

Simanto Saha1,2, Khondaker A Mamun3, Khawza Ahmed2

  • 1School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia.

Frontiers in Systems Neuroscience
|March 15, 2021
PubMed
Summary
This summary is machine-generated.

Brain computer interfaces (BCI) enable direct brain-computer communication, enhancing human capabilities for applications in rehabilitation and gaming. Overcoming challenges like brain signal variability is key for real-world BCI use.

Keywords:
brain computer interfacecognitive rehabilitationelectrical/hemodynamic brain signalshybrid/multimodal BCIneuroimaging techniquesneurosensors

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Area of Science:

  • Neuroscience
  • Computer Science
  • Biomedical Engineering

Background:

  • Brain computer interfaces (BCI) establish a direct link between brain activity and external devices.
  • BCIs augment human capabilities, with applications spanning rehabilitation, affective computing, robotics, gaming, and neuroscience.
  • Global research has advanced BCI technology, developing platforms for standardization and addressing complex brain signal processing.

Purpose of the Study:

  • To review the progress of brain computer interface technology over recent decades.
  • To identify and discuss critical challenges hindering widespread BCI adoption.

Main Methods:

  • Review of state-of-the-art research and development in the BCI field.
  • Analysis of technological advancements and standardization efforts.
  • Identification of challenges related to brain signal dynamics and real-world application.

Main Results:

  • Significant progress has been made in BCI technology, including common platforms for standardization.
  • Challenges in extracting and classifying complex, non-linear brain dynamics have been addressed.
  • Time-variant fluctuations in brain signals remain a significant hurdle for practical, everyday BCI implementation.

Conclusions:

  • BCI technology has advanced considerably, offering diverse applications.
  • Standardization and advanced signal processing are key achievements.
  • The transition of BCIs from laboratory settings to daily life requires overcoming neurophysiological variability challenges.