Literature DB >> 32340953

A System for Simple Robotic Walking Assistance With Linear Impulses at the Center of Mass.

Arash Mohammadzadeh Gonabadi, Prokopios Antonellis, Philippe Malcolm.   

Abstract

Walking can be simplified as an inverted pendulum motion where both legs generate linear impulses to redirect the center of mass (COM) into every step. In this work, we describe a system to assist walking in a simpler way than exoskeletons by providing linear impulses directly at the COM instead of providing torques at the joints. We developed a novel waist end-effector and high-level controller for an existing cable-robot. The controller allows for the application of cyclic horizontal force profiles with desired magnitudes, timings, and durations based on detection of the step timing. By selecting a lightweight rubber series elastic element with optimal stiffness and carefully tuning the gains of the closed-loop proportional-integral-derivative (PID) controller in a number of single-subject experiments, we were able to reduce the within-step root mean square error between desired and actual forces up to 1.21% of body weight. This level of error is similar or lower compared to the performance of other robotic tethers designed to provide variable or constant forces at the COM. The system can produce force profiles with peaks of up to 15 ± 2% of body weight within a root mean square error (RMSE) of 2.5% body weight. This system could be used to assist patient populations that require levels of assistance that are greater than current exoskeletons and in a way that does not make the user rely on vertical support.

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Mesh:

Year:  2020        PMID: 32340953      PMCID: PMC7404782          DOI: 10.1109/TNSRE.2020.2988619

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  58 in total

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4.  A Mechatronic System for Studying Energy Optimization During Walking.

Authors:  Surabhi N Simha; Jeremy D Wong; Jessica C Selinger; J Maxwell Donelan
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-05-17       Impact factor: 3.802

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Authors:  Christopher A Zirker; Bradford C Bennett; Mark F Abel
Journal:  J Appl Biomech       Date:  2012-11-21       Impact factor: 1.833

6.  Exercise dose and mobility outcome in a comprehensive stroke unit: description and prediction from a prospective cohort study.

Authors:  Katharine Scrivener; Catherine Sherrington; Karl Schurr
Journal:  J Rehabil Med       Date:  2012-10       Impact factor: 2.912

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Journal:  Sci Transl Med       Date:  2017-07-26       Impact factor: 17.956

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Authors:  Kara K Patterson; Iwona Parafianowicz; Cynthia J Danells; Valerie Closson; Mary C Verrier; W Richard Staines; Sandra E Black; William E McIlroy
Journal:  Arch Phys Med Rehabil       Date:  2008-02       Impact factor: 3.966

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Authors:  Geoffrey Brown; Mengnan Mary Wu; Felix C Huang; Keith E Gordon
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Review 10.  Review of control strategies for robotic movement training after neurologic injury.

Authors:  Laura Marchal-Crespo; David J Reinkensmeyer
Journal:  J Neuroeng Rehabil       Date:  2009-06-16       Impact factor: 4.262

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  3 in total

1.  Metabolically efficient walking assistance using optimized timed forces at the waist.

Authors:  Prokopios Antonellis; Arash Mohammadzadeh Gonabadi; Sara A Myers; Iraklis I Pipinos; Philippe Malcolm
Journal:  Sci Robot       Date:  2022-03-16

2.  Differences between joint-space and musculoskeletal estimations of metabolic rate time profiles.

Authors:  Arash Mohammadzadeh Gonabadi; Prokopios Antonellis; Philippe Malcolm
Journal:  PLoS Comput Biol       Date:  2020-10-28       Impact factor: 4.475

3.  Using a simple rope-pulley system that mechanically couples the arms, legs, and treadmill reduces the metabolic cost of walking.

Authors:  Daisey Vega; Christopher J Arellano
Journal:  J Neuroeng Rehabil       Date:  2021-06-07       Impact factor: 4.262

  3 in total

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