NDLI: Continuous movement decoding using a target-dependent model with EMG inputs

Content Provider	IEEE Xplore Digital Library
Author	Sachs, N.A. Corbett, E.A. Miller, L.E. Perreault, E.J.
Copyright Year	2011
Description	Author affiliation: Departments of Biomedical Engineering and Physiology, Northwestern University, Evanston, IL 60208 USA (Sachs, N.A.) \|\| Department of Biomedical Engineering, Northwestern University, and the Rehabilitation Institute of Chicago, Chicago, IL 60611 USA (Corbett, E.A.) \|\| Departments of Physiology and Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL 60611 USA (Miller, L.E.) \|\| Departments of Biomedical Engineering and Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL 60611 USA (Perreault, E.J.)
Abstract	Trajectory-based models that incorporate target position information have been shown to accurately decode reaching movements from bio-control signals, such as muscle (EMG) and cortical activity (neural spikes). One major hurdle in implementing such models for neuroprosthetic control is that they are inherently designed to decode single reaches from a position of origin to a specific target. Gaze direction can be used to identify appropriate targets, however information regarding movement intent is needed to determine when a reach is meant to begin and when it has been completed. We used linear discriminant analysis to classify limb states into movement classes based on recorded EMG from a sparse set of shoulder muscles. We then used the detected state transitions to update target information in a mixture of Kalman filters that incorporated target position explicitly in the state, and used EMG activity to decode arm movements. Updating the target position initiated movement along new trajectories, allowing a sequence of appropriately timed single reaches to be decoded in series and enabling highly accurate continuous control.
Starting Page	5432
Ending Page	5435
File Size	1132803
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6091343
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electromyography Decoding Accuracy Trajectory Kalman filters Fingers Light emitting diodes
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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