A Prototype of EEG System for IoT

Laport, Francisco; Dapena, Adriana; Castro-Castro, Paula-María; Vázquez Araújo, Francisco Javier; Iglesia, Daniel I.

Use this link to cite:

http://hdl.handle.net/2183/25671

A Prototype of EEG System for IoT

Files

F.Laport_2020_A_Prototype_of_EEG_System_for_IoT.pdf (1.27 MB)

Identifiers

URI: http://hdl.handle.net/2183/25671

DOI: 10.1142/S0129065720500185

Publication date

2020-05-04

Authors

Laport, Francisco

Dapena, Adriana

Castro-Castro, Paula-María

Vázquez Araújo, Francisco Javier

Iglesia, Daniel I.

Bibliographic citation

Laport, F., Dapena, A., Castro, P. M., Vazquez-Araujo, F. J., & Iglesia, D. (2020). A Prototype of EEG System for IoT. International Journal of Neural Systems, 2050018-2050018

Abstract

[Abstract] In this work, we develop open source hardware and software for eye state classification and integrate it with a protocol for the Internet of Things (IoT). We design and build the hardware using a reduced number of components and with a very low-cost. Moreover, we propose a method for the detection of open eyes (oE) and closed eyes (cE) states based on computing a power ratio between different frequency bands of the acquired signal. We compare several real- and complex-valued transformations combined with two decision strategies: a threshold-based method and a linear discriminant analysis. Simulation results show both classifier accuracies and their corresponding system delays.