Identification of Multiple-Input Systems with Highly Coupled Inputs: Application to EMG Prediction from Multiple Intracortical Electrodes

A robust identification algorithm has been developed for linear, time-invariant, multiple-input single-output systems, with an emphasis on how this algorithm can be used to estimate the dynamic relationship between a set of neural recordings and related physiological signals. The identification algo...

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Bibliographic Details
Main Authors:	Westwick, David T., Pohlmeyer, Eric A., Solla, Sara A., Miller, Lee E., Perreault, Eric J.
Format:	Artigo
Language:	Inglês
Published:	2006
Subjects:	Article
Online Access:	https://ncbi.nlm.nih.gov/pmc/articles/PMC2590628/ https://ncbi.nlm.nih.gov/pubmed/16378517 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1162/089976606775093855
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Identification of Multiple-Input Systems with Highly Coupled Inputs: Application to EMG Prediction from Multiple Intracortical Electrodes

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