Phase shift between joint rotation and actuation reflects dominant forces and predicts muscle activation patterns

Author:

Sutton G P1ORCID,Szczecinski N S2ORCID,Quinn R D3ORCID,Chiel H J456ORCID

Affiliation:

1. School of Life Sciences, University of Lincoln , Lincoln LN6 7TS , UK

2. Department of Mechanical and Aerospace Engineering, West Virginia University , Morgantown, WV 26506-6106 , USA

3. Department of Mechanical Engineering, Case Western Reserve University , Cleveland, OH 44106 , USA

4. Department of Biology, Case Western Reserve University , Cleveland, OH 44106 , USA

5. Department of Neuroscience, Case Western Reserve University , Cleveland, OH 44106 , USA

6. Department of Biomedical Engineering, Case Western Reserve University , Cleveland, OH 44106 , USA

Abstract

Abstract During behavior, the work done by actuators on the body can be resisted by the body's inertia, elastic forces, gravity, or viscosity. The dominant forces that resist actuation have major consequences on the control of that behavior. In the literature, features and actuation of locomotion, for example, have been successfully predicted by nondimensional numbers (e.g. Froude number and Reynolds number) that generally express the ratio between two of these forces (gravitational, inertial, elastic, and viscous). However, animals of different sizes or motions at different speeds may not share the same dominant forces within a behavior, making ratios of just two of these forces less useful. Thus, for a broad comparison of behavior across many orders of magnitude of limb length and cycle period, a dimensionless number that includes gravitational, inertial, elastic, and viscous forces is needed. This study proposes a nondimensional number that relates these four forces: the phase shift (ϕ) between the displacement of the limb and the actuator force that moves it. Using allometric scaling laws, ϕ for terrestrial walking is expressed as a function of the limb length and the cycle period at which the limb steps. Scale-dependent values of ϕ are used to explain and predict the electromyographic (EMG) patterns employed by different animals as they walk.

Funder

MRC

NSF DBI

Royal Society

US Army Research Office

Publisher

Oxford University Press (OUP)

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