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A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

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Embedded Brain Computer Interface: State-of-the-Art in Research.

Kais Belwafi¹, Sofien Gannouni¹, Hatim Aboalsamh¹

¹Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.

Sensors (Basel, Switzerland)

|July 2, 2021

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Brain-computer interfaces (BCIs) are increasingly used to restore function for individuals with motor disabilities. This review explores BCI development, portable technologies, and experimental studies, highlighting potential for accessible BCI systems.

Area of Science:

Neuroscience and Biomedical Engineering
Rehabilitation Technology

Background:

Brain-computer interfaces (BCIs) are crucial for restoring capabilities in individuals with severe motor disabilities.
Current BCI systems predominantly rely on personal computers, limiting accessibility and portability.

Purpose of the Study:

To provide an overview of Brain-computer interface (BCI) development and current technologies.
To discuss the trend towards implementing BCIs on portable platforms.
To review experimental studies on BCIs.

Main Methods:

Literature review of Brain-computer interface (BCI) development.
Analysis of current portable BCI technologies and their advantages (size, cost, power).
Examination of signal processing algorithms and processor suitability for portable BCIs.

Keywords:

EEG signal processing electroencephalogram (EEG)embedded brain computer interface

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Main Results:

Growing applications of BCIs for motor disability restoration.
Significant interest in developing portable BCIs due to lower cost, size, and power consumption.
Potential suitability of slower processors for certain BCI signal processing algorithms.

Conclusions:

Portable Brain-computer interface (BCI) systems offer a promising avenue for increased accessibility and reduced cost.
Further research into experimental studies is essential for advancing BCI technology.
The development of efficient BCI systems tailored for portable platforms is a key area of focus.