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

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 decoding...

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Bibliographic Details
Main Authors: Malik, Wasim Qamar, Truccolo, Wilson, Brown, Emery N., Hochberg, Leigh R.
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2012
Online Access:http://hdl.handle.net/1721.1/70553
https://orcid.org/0000-0003-2668-7819
https://orcid.org/0000-0002-7260-7560

Internet

http://hdl.handle.net/1721.1/70553
https://orcid.org/0000-0003-2668-7819
https://orcid.org/0000-0002-7260-7560

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