Abstract
Brain-Computer Interface (BCI) has been focusing on the development of communication tools for patients with motor disabilities. ElectroEncephaloGraphy (EEG) is commonly used in order to acquire brain electrical activity and mental states.
Toward an application of brain computer interface, the aim of this paper is to detect eye blink signals from EEG signals. It develops the acquisition using BioRadio portable device and describes the methods used to pre-process these signals, and to classify the eye blinking signals using the Probabilistic Neural Network as a binary classifier. The results obtained are promising in order to be included in a neurorehabilitation application.
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Rihana, S., Damien, P., Moujaess, T. (2013). EEG-Eye Blink Detection System for Brain Computer Interface. In: Pons, J., Torricelli, D., Pajaro, M. (eds) Converging Clinical and Engineering Research on Neurorehabilitation. Biosystems & Biorobotics, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34546-3_98
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DOI: https://doi.org/10.1007/978-3-642-34546-3_98
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34545-6
Online ISBN: 978-3-642-34546-3
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