Filtering noise for synchronised activity in multi-trial electrophysiology data using Wiener and Kalman filters
Zhan, Yang, Guo, Shuixia, Kendrick, Keith M. and Feng, Jianfeng. (2009) Filtering noise for synchronised activity in multi-trial electrophysiology data using Wiener and Kalman filters. Biosystems, Vol.96 (No.1). pp. 1-13. ISSN 0303-2647Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.biosystems.2008.11.007
Novel approaches to effectively reduce noise in data recorded from multi-trial physiology experiments have been investigated using two-dimensional filtering methods, adaptive Wiener filtering and reduced update Kalman filtering. Test data based on signal and noise model consisting of different conditions of signal components mixed with noise have been considered with filtering effects evaluated using analysis of frequency coherence and of time-dependent coherence. Various situations that may affect the filtering results have been explored and reveal that Wiener and Kalman filtering can considerably improve the coherence values between two channels of multi-trial data and suppress uncorrelated components. We have extended our approach to experimental data: multi-electrode array (MEA) local field potential (LFPs) recordings from the inferotemporal cortex of sheep and LFP vs. electromyogram (LFP-EMG) recording data during resting tremor in Parkinson's disease patients. Finally general procedures for implementation of these filtering techniques are described. (C) 2008 Elsevier Ireland Ltd. All rights reserved.
|Item Type:||Journal Article|
|Subjects:||Q Science > QH Natural history > QH301 Biology|
|Divisions:||Faculty of Science > Centre for Scientific Computing
Faculty of Science > Computer Science
|Journal or Publication Title:||Biosystems|
|Publisher:||Elsevier Science Ltd.|
|Number of Pages:||13|
|Page Range:||pp. 1-13|
|Access rights to Published version:||Restricted or Subscription Access|
|Funder:||Search Foundation USA, Engineering and Physical Sciences Research Council (EPSRC), Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC)|
|Grant number:||EP/C51338X (EPSRC), EP/D051916 (EPSRC), GR/S30443 (EPSRC), BB/E005802 (BBSRC)|
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