This study presents a machine learning approach applied to ElectroEnchephaloGraphic (EEG) response in a group of subjects when exposed to a controlled olfactory stimulation experiment. In the literature, in fact, there are controversial results on EEG response to odorants. This study proposes a robust leave-one-subject-out classification method to recognize features extracted from EEG signals belonging to pleasant or unpleasant olfactory stimulation classes. An accuracy of 75% has been achieved in a group of 32 subjects. Moreover a set of features extracted from lateral electrodes emphasized that right and left hemispheres behave differently when the subjects are exposed to pleasant or unpleasant odours stimuli.

Automatic recognition of pleasant content of odours through ElectroEncephaloGraphic activity analysis / LANATA', ANTONIO; GUIDI, ANDREA; GRECO, ALBERTO; VALENZA, GAETANO; DI FRANCESCO, FABIO; SCILINGO, ENZO PASQUALE. - ELETTRONICO. - Volume 2016:(2016), pp. 4519-4522. (Intervento presentato al convegno 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 tenutosi a Orlando (Florida) nel 16/08/2016-20/08/2016) [10.1109/EMBC.2016.7591732].

Automatic recognition of pleasant content of odours through ElectroEncephaloGraphic activity analysis

LANATA', ANTONIO;
2016

Abstract

This study presents a machine learning approach applied to ElectroEnchephaloGraphic (EEG) response in a group of subjects when exposed to a controlled olfactory stimulation experiment. In the literature, in fact, there are controversial results on EEG response to odorants. This study proposes a robust leave-one-subject-out classification method to recognize features extracted from EEG signals belonging to pleasant or unpleasant olfactory stimulation classes. An accuracy of 75% has been achieved in a group of 32 subjects. Moreover a set of features extracted from lateral electrodes emphasized that right and left hemispheres behave differently when the subjects are exposed to pleasant or unpleasant odours stimuli.
2016
Proceedings of 38th Annual International Conference of the IEEE Engineering in medicine and Biology Society (EMBC)
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Orlando (Florida)
16/08/2016-20/08/2016
LANATA', ANTONIO; GUIDI, ANDREA; GRECO, ALBERTO; VALENZA, GAETANO; DI FRANCESCO, FABIO; SCILINGO, ENZO PASQUALE
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1192160
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