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Biomedical Engineering and Bioengineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Virginia Commonwealth University

2009

Brain-computer interface (BCI)

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Full-Text Articles in Biomedical Engineering and Bioengineering

Spatial Detection Of Multiple Movement Intentions From Sam-Filtered Single-Trial Meg For A High Performance Bci, Harsha Battapady Jul 2009

Spatial Detection Of Multiple Movement Intentions From Sam-Filtered Single-Trial Meg For A High Performance Bci, Harsha Battapady

Theses and Dissertations

The objective of this study is to test whether human intentions to sustain or cease movements in right and left hands can be decoded reliably from spatially filtered single trial magneto-encephalographic (MEG) signals. This study was performed using motor execution and motor imagery movements to achieve a potential high performance Brain-Computer interface (BCI). Seven healthy volunteers, naïve to BCI technology, participated in this study. Signals were recorded from 275-channel MEG and synthetic aperture magnetometry (SAM) was employed as the spatial filter. The four-class classification for natural movement intentions was performed offline; Genetic Algorithm based Mahalanobis Linear Distance (GA-MLD) and direct-decision ...