Gerardo G. Gentiletti

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A Brain Computer Interface is a system that provides an artificial communication between the human brain and the external world. The paradigm based on event related evoked potentials is used in this work. Our main goal was to efficiently solve a binary classification problem: presence or absence of P300 in the registers. Genetic Algorithms and Support(More)
We present a new method for single trial detection of P300 evoked responses. The features used to classify are the coefficients of a least-squares fit of a single EEG epoch to the intrinsical mode functions of an empirical mode decomposition of the averaged event response from a P300 training set. Support vector machines with a linear kernel are used to(More)
— The Brain Computer Interfaces (BCI) are an alternative of communication for people with severe motor disabilities. A BCI is a system that does not depend on the brain's normal output pathways of peripheral nerves and muscles. These systems extract information either from EEG activity recorded from the scalp (non invasive) or the activity of individual(More)
Hearing loss is one of the pathologies with the highest prevalence in newborns. If it is not detected in time, it can affect the nervous system and cause problems in speech, language and cognitive development. The recommended methods for early detection are based on otoacoustic emissions (OAE) and/or auditory brainstem response (ABR). In this work, the(More)
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