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Efficient Decoding With Steady-State Kalman Filter in Neural Interface Systems

The Kalman filter is commonly used in neural interface systems to decode neural activity and estimate the desired movement kinematics. We analyze a low-complexity Kalman filter implementation in which the filter gain is approximated by its steady-state form, computed offline before real-time decodin...

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Bibliografiske detaljer
Main Authors: Malik, Wasim Q., Truccolo, Wilson, Brown, Emery N., Hochberg, Leigh R.
Format: Artigo
Sprog:Inglês
Udgivet: 2010
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3044609/
https://ncbi.nlm.nih.gov/pubmed/21078582
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNSRE.2010.2092443
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