Perturbation-based estimation of within-stride cycle metabolic cost.

Autor: Dzewaltowski AC; Department of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, USA. adzewaltowski@unomaha.edu., Antonellis P; Department of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, USA.; Oregon Health & Science University, Portland, OR, USA., Mohammadzadeh Gonabadi A; Department of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, USA.; Rehabilitation Engineering Center, Institute for Rehabilitation Science and Engineering, Madonna Rehabilitation Hospital, Lincoln, NE, USA., Song S; Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, USA., Malcolm P; Department of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, USA. pmalcolm@unomaha.edu.
Jazyk: angličtina
Zdroj: Journal of neuroengineering and rehabilitation [J Neuroeng Rehabil] 2024 Aug 01; Vol. 21 (1), pp. 131. Date of Electronic Publication: 2024 Aug 01.
DOI: 10.1186/s12984-024-01424-8
Abstrakt: Metabolic cost greatly impacts trade-offs within a variety of human movements. Standard respiratory measurements only obtain the mean cost of a movement cycle, preventing understanding of the contributions of different phases in, for example, walking. We present a method that estimates the within-stride cost of walking by leveraging measurements under different force perturbations. The method reproduces time series with greater consistency (r = 0.55 and 0.80 in two datasets) than previous model-based estimations (r = 0.29). This perturbation-based method reveals how the cost of push-off (10%) is much smaller than would be expected from positive mechanical work (~ 70%). This work elucidates the costliest phases during walking, offering new targets for assistive devices and rehabilitation strategies.
(© 2024. The Author(s).)
Databáze: MEDLINE
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