Difference between revisions of "BCI & artifacts"
From AIRWiki
(→Intro) |
|||
| (3 intermediate revisions by one other user not shown) | |||
| Line 6: | Line 6: | ||
|resarea=BioSignal Analysis | |resarea=BioSignal Analysis | ||
|start=2009/12/31 | |start=2009/12/31 | ||
| − | |status= | + | |status=Closed |
|level=Bs | |level=Bs | ||
|type=Thesis | |type=Thesis | ||
| Line 14: | Line 14: | ||
==The Project== | ==The Project== | ||
*The aim of this project is to analyse methods to manage artifacts in BCI systems. | *The aim of this project is to analyse methods to manage artifacts in BCI systems. | ||
| + | *references: [[Real-time removal of ocular artifact from EEG]] | ||
| − | == | + | == Works Done == |
*Introduction to EEG and EOG artifacts and methods such as Wavelet, cICA and Fast-ICA. | *Introduction to EEG and EOG artifacts and methods such as Wavelet, cICA and Fast-ICA. | ||
| + | |||
| + | == Work In Progress == | ||
| + | *making a mini-guide on how to reproduce a signal without the EOG artifacts. | ||
==Intro== | ==Intro== | ||
Latest revision as of 23:47, 3 April 2012
BCI and artifacts
| |
 | |
| Short Description: | BCI and artifacts |
| Coordinator: | |
| Tutor: | MatteoMatteucci (matteo.matteucci@polimi.it) |
| Collaborator: | |
| Students: | DarioRusignuolo (dario.rusignuolo@mail.polimi.it) |
| Research Area: | BioSignal Analysis |
| Research Topic: | |
| Start: | 2009/12/31 |
| Status: | Closed |
| Level: | Bs |
| Type: | Thesis |
Contents
First Level Thesis
The Project
- The aim of this project is to analyse methods to manage artifacts in BCI systems.
- references: Real-time removal of ocular artifact from EEG
Works Done
- Introduction to EEG and EOG artifacts and methods such as Wavelet, cICA and Fast-ICA.
Work In Progress
- making a mini-guide on how to reproduce a signal without the EOG artifacts.
Intro
Introduction to artifacts in BCI systems
References
- EMG and EOG artifacts in brain computer interface systems: A survey, Fatourechi, Bashanti, Ward, Birch
EOG Correction, ICA & Wavelet
References
- EOG correction: A comparison of four methods, Rodney Croft, Jody S. Chandler, Robert J. Barry and Nicholas R. Cooper
- Low-Probability event-detection and separation via statistical wavelet thresholding: An Application to psychophysiological de-noising, Browne and Cutmore
- Temporally Constrained ICA: An Application to Artifact Rejection in Electromagnetic Brain Signal Analysis, James, Gibson
Links
Person in charge Dario Rusignuolo
