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Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics.

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Title: Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics.
Authors: Winner, Taniel S.1 (AUTHOR) twinner@emory.edu, Rosenberg, Michael C.1 (AUTHOR), Jain, Kanishk2 (AUTHOR), Kesar, Trisha M.3 (AUTHOR), Ting, Lena H.1,3 (AUTHOR), Berman, Gordon J.4 (AUTHOR) twinner@emory.edu
Source: PLoS Computational Biology. 10/27/2023, Vol. 19 Issue 10, p1-33. 33p. 2 Diagrams, 5 Graphs.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 10/27/2023, Vol. 19 Issue 10, p1-33. 33p. 2 Diagrams, 5 Graphs.
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        Value: 10.1371/journal.pcbi.1011556
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              Text: 10/27/2023
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