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Related Concept Videos

Brain Imaging01:14

Brain Imaging

402
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.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
402

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A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
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Brain-Computer Interface: Advancement and Challenges.

M F Mridha1, Sujoy Chandra Das1, Muhammad Mohsin Kabir1

  • 1Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka 1216, Bangladesh.

Sensors (Basel, Switzerland)
|September 10, 2021
PubMed
Summary
This summary is machine-generated.

This review provides a comprehensive overview of Brain-Computer Interface (BCI) systems, covering applications, components, and challenges. It aims to consolidate existing knowledge for researchers in this multidisciplinary field.

Keywords:
biomedical sensorsbrain-computer interfacesignal processingsystematic review

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Area of Science:

  • Neuroscience
  • Signal Processing
  • Biomedical Engineering

Background:

  • Brain-Computer Interface (BCI) is a rapidly advancing, multidisciplinary research area.
  • Despite significant progress, a comprehensive review consolidating BCI knowledge is lacking.

Purpose of the Study:

  • To present a thorough overview of the Brain-Computer Interface domain.
  • To highlight the significance and diverse applications of BCI technology.

Main Methods:

  • Systematic review of existing Brain-Computer Interface research.
  • Detailed explanation of BCI system components: techniques, datasets, feature extraction, algorithms, and classifiers.
  • Overview of hardware and sensors used in BCI systems.

Main Results:

  • Compilation of key BCI applications and their importance.
  • Concise explanations of core BCI system elements and methodologies.
  • Identification and discussion of current challenges and potential solutions in BCI research.

Conclusions:

  • This study offers a unified perspective on the Brain-Computer Interface field.
  • It serves as a valuable resource for understanding BCI systems, from fundamental components to future directions.
  • The review addresses existing knowledge gaps and proposes avenues for future BCI development.