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A Kinematic Index for Estimation of Metabolic Rate Reduction in Running with I-RUN

Hamidreza Aftabi, Rezvan Nasiri, Majid Nili Ahmadabadi
doi: https://doi.org/10.1101/2020.08.30.274365
Hamidreza Aftabi
1Cognitive Systems Laboratory, Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
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Rezvan Nasiri
1Cognitive Systems Laboratory, Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
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  • For correspondence: rezvan.nasiri@ut.ac.ir
Majid Nili Ahmadabadi
1Cognitive Systems Laboratory, Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
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ABSTRACT

In this paper, we target multiple goals related to our passive running assistive device, called I-RUN. The major goals are: (1) finding the main reason behind individual differences in benefiting from our assistive device at the muscles level, (2) devising a simple measure for on-line I-RUN stiffness tuning, and creating a lab-free simple kinematic measure for (3) estimating metabolic rate reduction as well as (4) training subjects to maximize their benefit from I-RUN. Our approach is using some extensive data-driven OpenSim simulation results employing a generic lower limb model with 92-muscles and 29-DOF.

It is observed that there is a significant relation between the hip joints kinematic and changes in the metabolic rate in the presence of I-RUN. Accordingly, a simple kinematic index is devised to estimate metabolic rate reduction. This index not only explains individual differences in metabolic rate reduction but also provides a quantitative measure for training subjects to maximize their benefits from I-RUN.

The simulation results also re-confirm our hypothesis that “reducing the forces of two antagonistic mono-articular muscles is sufficient for involved muscles’ total effort reduction”. Consequently, we introduce a two-muscles EMG-based metric for the on-line tuning of I-RUN.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵2 hamidreza.aftabi{at}ut.ac.ir

  • ↵4 Principal investigator; mnili{at}ut.ac.ir

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted August 31, 2020.
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A Kinematic Index for Estimation of Metabolic Rate Reduction in Running with I-RUN
Hamidreza Aftabi, Rezvan Nasiri, Majid Nili Ahmadabadi
bioRxiv 2020.08.30.274365; doi: https://doi.org/10.1101/2020.08.30.274365
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A Kinematic Index for Estimation of Metabolic Rate Reduction in Running with I-RUN
Hamidreza Aftabi, Rezvan Nasiri, Majid Nili Ahmadabadi
bioRxiv 2020.08.30.274365; doi: https://doi.org/10.1101/2020.08.30.274365

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