Eye State Detection Using Frequency Features from 1 or 2-Channel EEG
Use este enlace para citar
http://hdl.handle.net/2183/34401
A non ser que se indique outra cousa, a licenza do ítem descríbese como Atribución 4.0 International (CC-BY)
Coleccións
- GI-GTEC - Artigos [193]
Metadatos
Mostrar o rexistro completo do ítemTítulo
Eye State Detection Using Frequency Features from 1 or 2-Channel EEGAutor(es)
Data
2023Cita bibliográfica
Laport, F., Dapena, A., Castro, P. M., Diego Fernández Iglesias, & Vázquez-Araújo, F. J. (2023). Eye State Detection using Frequency Features from 1 or 2-Channel EEG. International Journal of Neural Systems. https://doi.org/10.1142/s0129065723500624
Resumo
[Abstract]: Brain–computer interfaces (BCIs) establish a direct communication channel between the human brain and external devices. Among various methods, electroencephalography (EEG) stands out as the most popular choice for BCI design due to its non-invasiveness, ease of use, and cost-effectiveness. This paper aims to present and compare the accuracy and robustness of an EEG system employing one or two channels. We present both hardware and algorithms for the detection of open and closed eyes. Firstly, we utilize a low-cost hardware device to capture EEG activity from one or two channels. Next, we apply the discrete Fourier transform to analyze the signals in the frequency domain, extracting features from each channel. For classification, we test various well-known techniques, including Linear Discriminant Analysis (LDA), Support Vector Machine (SVM), Decision Tree (DT), or Logistic Regression (LR). To evaluate the system, we conduct experiments, acquiring signals associated with open and closed eyes, and compare the performance between one and two channels. The results demonstrate that employing a system with two channels and using SVM, DT, or LR classifiers enhances robustness compared to a single-channel setup and allows us to achieve an accuracy percentage greater than 95% for both eye states.
Palabras chave
Brain–computer interface
Electroencephalography
Eye states
Prototype
Electroencephalography
Eye states
Prototype
Descrición
© The Author(s)
This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC BY) License which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Versión do editor
Dereitos
Atribución 4.0 International (CC-BY) © The Authors
ISSN
0129-0657
1793-6462
1793-6462