Abstract
A method for the sequential estimation of single trial evoked potentials (EP) is presented. The method is based on recursive Bayesian Mean Squares estimation. The evoked potentials are estimated sequentially using the old estimates as the prior information. The estimated EPs are constrained to a principal subspace of the ensemble of measurements. The method is shown to be capable of tracking slow trends in parameters of the EP. The performance of the method is evaluated with realistic simulated evoked potential measurements.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.