Exploratory data analysis by genetic feature extraction

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Title: Exploratory data analysis by genetic feature extraction


Description: Understanding the waves in EEG signals is an hard task and psicologists often need automatic tools to perform this task. In this project we are interested in using a genetic algorithm developed for P300 feature extraction in order to extract useful informations from Error Potentials. The project is a collaboration with the psicology department od Padua University.
Tutor: MatteoMatteucci (matteo.matteucci@polimi.it)
Start: 2009/10/01
Students: 1 - 2
CFU: 5 - 20
Research Area: BioSignal Analysis
Research Topic: Brain-Computer Interface
Level: Ms
Type: Course, Thesis
Status: Closed