In this paper we study the detection of a specific pattern associated with the blinking of an eye in real time using electroencephalogram (EEG) signals of a single channel. This paper takes into account the theoretical and practical principles enabling the design and implementation of a system for real-time detection of time location, regardless of scale and multiple incidences. By using wavelet transform it permits us the fulfillment of our objective. The multiple detection and real-time operation is achieved by working with a pop-up window giving the projection of an ongoing analysis of the signal sampled by the EEG. © 2012 Springer-Verlag.
CITATION STYLE
Salinas, R., Schachter, E., & Miranda, M. (2012). Recognition and real-time detection of blinking eyes on electroencephalographic signals using wavelet transform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7441 LNCS, pp. 682–690). https://doi.org/10.1007/978-3-642-33275-3_84
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