Non-Invasive Brain-Computer Interface Technology (BCI) Modalities and Implementation: A Review Article and Assimilation of BCI Models

Authors

  • Saadabi DMM* Department of Electrical and Electronics Engineering, Red Sea University, Sudan Author
  • Elrahim AGA Department of Electrical and Electronics Engineering, Red Sea University, Sudan Author
  • Saied HFI Department of Biomedical Technology, Inaya Medical College, Saudi Arabia Author

DOI:

https://doi.org/10.23880/aabsc-16000166

Keywords:

Brain-Computer Interface, Brain-Machine Interface, Electroencephalography, Non-invasive BC, BCI Modalities

Abstract

Brain-computer interface (BCI) technology or brain-machine interface (BMI) technology has become the most attractive field
for researchers in various disciplines and has occupied an important place in many scientific and even recreational applications.
This review first highlights the different and most frequently used methods for implementing brain-computer interface (BCI)
systems with a focus on non-invasive BCI models. Secondly, it analyzes the different stages of building a BCI system (input
stage, signal processing stage, and output stage). Then it compares the different methods in terms of the algorithms used and
the pros and cons. The aim of the study is to find the most adequate and price method to record the EEG by means of electrodes
placed on the scalp. Then some features will be extracted from the EEG and 

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Published

2021-08-16

Issue

Vol. 4 No. 2 (2021)

Section

Articles

License

Copyright (c) 2021 Saadabi DMM

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Non-Invasive Brain-Computer Interface Technology (BCI) Modalities and Implementation: A Review Article and Assimilation of BCI Models. (2021). Annals of Advanced Biomedical Sciences, 4(2), 1-8. https://doi.org/10.23880/aabsc-16000166