Document Type

Journal Article

Publication Title

Scientific Reports

Volume

11

Issue

1

PubMed ID

34349146

Publisher

Nature

School

School of Medical and Health Sciences

RAS ID

38899

Funders

Natural Sciences and Engineering Research Council of Canada / University of Calgary Eyes High Doctoral Recruitment Scholarship / Biomedical Engineering Equiptment Grant

Comments

Schroeder, R. T., Croft, J. L., & Bertram, J. E. (2021). Evaluating the energetics of entrainment in a human–machine coupled oscillator system. Scientific Reports, 11, article 15804. https://doi.org/10.1038/s41598-021-95047-x

Abstract

During locomotion, humans sometimes entrain (i.e. synchronize) their steps to external oscillations: e.g. swaying bridges, tandem walking, bouncy harnesses, vibrating treadmills, exoskeletons. Previous studies have discussed the role of nonlinear oscillators (e.g. central pattern generators) in facilitating entrainment. However, the energetics of such interactions are unknown. Given substantial evidence that humans prioritize economy during locomotion, we tested whether reduced metabolic expenditure is associated with human entrainment to vertical force oscillations, where frequency and amplitude were prescribed via a custom mechatronics system during walking. Although metabolic cost was not significantly reduced during entrainment, individuals expended less energy when the oscillation forces did net positive work on the body and roughly selected phase relationships that maximize positive work. It is possible that individuals use mechanical cues to infer energy cost and inform effective gait strategies. If so, an accurate prediction may rely on the relative stability of interactions with the environment. Our results suggest that entrainment occurs over a wide range of oscillation parameters, though not as a direct priority for minimizing metabolic cost. Instead, entrainment may act to stabilize interactions with the environment, thus increasing predictability for the effective implementation of internal models that guide energy minimization.

DOI

10.1038/s41598-021-95047-x

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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