Talk:Feature Selection and Extraction for a BCI based on motor imagery
Contents
Part 1: Project profile
Project name
Feature Selection and Extraction for a BCI based on motor imagery
Project short description
The aim of this project is to explore and analyze methods, pointed out from literature, for feature selection and extraction in a BCI system based on motor imagery.
Dates
Start date: 0?/0?/2008
End date:
People involved
Project head(s)
- Matteo Matteucci (professor)
Other Politecnico di Milano people
- Rossella Blatt (phd student)
Students currently working on the project
- Francesco Amenta (master student)
Laboratory work and risk analysis
Laboratory work for this project will be mainly performed at AIRLab-IIT/Lambrate. The main activity consists in the acquisition of brain signals through an EEG amplifier for on-line or off-line processing. This is a potentially risky activity since there is an electrical instrumentation that is in direct contact with the human body. It is thus important to keep the system isolated from the power line. The EEG amplifier (as all biomedical instrumentations) is certified by the vendor to be isolated and the acquired data are transferred to the PC using an optic fiber connection . Anyhow for increased safety the PC and any other electronic device connected to the system must be disconnected from the power line. Standard safety measures described in Safety norms will be followed.