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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
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This paper reviews brain-computer interfaces (BCI), detailing their principles, components, and applications. It highlights current trends and future potential while addressing challenges for widespread adoption of BCI technology.

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Area of Science:

  • Neuroscience and Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Brain-computer interfaces (BCI) enable direct communication pathways between the brain and external devices.
  • Understanding BCI operation principles and platforms is crucial for technological advancement.

Purpose of the Study:

  • To provide a comprehensive overview of the current state-of-the-art in BCI technology.
  • To examine the components, applications, and future directions of BCIs.
  • To identify key challenges hindering widespread BCI adoption.

Main Methods:

  • Literature review of existing BCI research and development.
  • Analysis of BCI system components: hardware, software, and signal processing.
  • Exploration of current research trends and potential future applications.

Main Results:

  • BCI technology encompasses diverse hardware, software, and signal processing algorithms.
  • Current research explores medical, educational, and other applications for BCIs.
  • Significant challenges remain for the widespread adoption of BCI systems.

Conclusions:

  • BCI technology is rapidly advancing with diverse applications.
  • Addressing technical and practical challenges is essential for future BCI integration.
  • This overview offers insights into the progress and innovation trajectory of BCIs.