Adaptive parameter selection for asynchronous intrafascicular multi-electrode stimulation

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Publication Type pre-print
School or College School of Medicine
Department Ophthalmology
Creator Normann, Richard A.
Other Author Frankel, Mitchell A.; Clark, Gregory A.; Meek, Sanford G.; Mathews, V. John
Title Adaptive parameter selection for asynchronous intrafascicular multi-electrode stimulation
Date 2012-01-01
Description This paper describes an adaptive algorithm for selecting perelectrode stimulus intensities and inter-electrode stimulation phasing to achieve desired isometric plantar-flexion forces via asynchronous, intrafascicular multi-electrode stimulation. The algorithm employed a linear model of force production and a gradient descent approach for updating the parameters of the model. The adaptively selected model stimulation parameters were validated in experiments in which stimulation was delivered via a Utah Slanted Electrode Array that was acutely implanted in the sciatic nerve of an anesthetized feline. In simulations and experiments, desired steps in force were evoked, and exhibited short time-to-peak (< 0.5 s), low overshoot (< 10%), low steady-state error (< 4%), and low steady-state ripple (< 12%), with rapid convergence of stimulation parameters. For periodic desired forces, the algorithm was able to quickly converge and experimental trials showed low amplitude error (mean error < 10% of maximum force), and short time delay (< 250 ms).
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Volume 6287993
First Page 753
Last Page 756
Dissertation Institution University of Utah
Language eng
Bibliographic Citation Frankel, M. A., Clark, G. A., Meek, S. G., Normann, R. A., & Mathews, V. J. (2012). Adaptive parameter selection for asynchronous intrafascicular multi-electrode stimulation. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 6287993, 753-6.
Rights Management (c) 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 235,943 bytes
Identifier uspace,18030
ARK ark:/87278/s6zs3f9p
Setname ir_uspace
Date Created 2012-11-13
Date Modified 2012-11-13
ID 708221
Reference URL https://collections.lib.utah.edu/ark:/87278/s6zs3f9p
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