Comparison of extended and unscented Kalman filters applied to EEG signals
Paper
Paper/Presentation Title | Comparison of extended and unscented Kalman filters applied to EEG signals |
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Presentation Type | Paper |
Authors | Walters-Williams, Janett (Author) and Li, Yan (Author) |
Editors | Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong |
Journal or Proceedings Title | Proceedings of the 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010) |
Number of Pages | 7 |
Year | 2010 |
Place of Publication | Brisbane, Australia |
ISBN | 9781424468430 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICCME.2010.5558873 |
Conference/Event | 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010) |
Event Details | 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010) Parent ICME International Conference on Complex Medical Engineering Event Date 13 to end of 15 Jul 2010 Event Location Gold Coast, Australia |
Abstract | For years the Extended Kalman Filter (EKF) has been the algorithm for non-linear systems due to its simplicity |
Keywords | extended Kalman filter; electroencephalography; EEG signals; electroencephalography; unscented Kalman filter; EEG |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
320602. Medical biotechnology diagnostics (incl. biosensors) | |
461399. Theory of computation not elsewhere classified | |
Public Notes | © 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | Department of Mathematics and Computing |
Centre for Systems Biology | |
Department of Electrical, Electronic and Computer Engineering | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0853/comparison-of-extended-and-unscented-kalman-filters-applied-to-eeg-signals
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