Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

© 2003 IEEE. In this paper, we outline a suitable methodology for the analysis of nonstationary electrophysiological signals. The methodology is founded on a Bayesian approach to spectral estimation, which offers definite advantages in objectivity as compared to other approaches. The analysis of such signals is important in experimental paradigms where one is interested in tracking changes in spectral power or coherence. We describe how this methodology has been successfully applied to scalp EEG and deep brain local field potentials recorded from Parkinsonian patients, and used to deduce task related changes in power and coherence that are relevant to the understanding of the neural organisation of voluntary movement.

Original publication

DOI

10.1109/CNE.2003.1196865

Type

Conference paper

Publication Date

01/01/2003

Volume

2003-January

Pages

477 - 478