Laport, FranciscoDapena, AdrianaCastro-Castro, Paula-MaríaVázquez Araújo, Francisco JavierIglesia, Daniel I.2020-06-012020-06-012020-05-04Laport, 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, 2050018-20500181793-64620129-0657http://hdl.handle.net/2183/25671[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.engAtribución 4.0http://creativecommons.org/licenses/by/4.0/ElectroencephalographyInternet of thingsPrototypesSignal processingjournal articleopen access10.1142/S0129065720500185