Literature DB >> 33362502

Effect of Joint Friction Compensation on a "Muscle-First" Motor-Assisted Hybrid Neuroprosthesis.

Ryan-David Reyes1,2, Rudolf Kobetic1, Mark Nandor1,3, Nathaniel Makowski1,4, Musa Audu1,2, Roger Quinn3, Ronald Triolo1,2.   

Abstract

This study assessed the metabolic energy consumption of walking with the external components of a "Muscle-First" Motor Assisted Hybrid Neuroprosthesis (MAHNP), which combines implanted neuromuscular stimulation with a motorized exoskeleton. The "Muscle-First" approach prioritizes generating motion with the wearer's own muscles via electrical stimulation with the actuators assisting on an as-needed basis. The motorized exoskeleton contributes passive resistance torques at both the hip and knee joints of 6Nm and constrains motions to the sagittal plane. For the muscle contractions elicited by neural stimulation to be most effective, the motorized joints need to move freely when not actively assisting the desired motion. This study isolated the effect of the passive resistance or "friction" added at the joints by the assistive motors and transmissions on the metabolic energy consumption of walking in the device. Oxygen consumption was measured on six able-bodied subjects performing 6 min walk tests at three different speeds (0.4, 0.8, and 1.2 m/s) under two different conditions: one with the motors producing no torque to compensate for friction, and the other having the motors injecting power to overcome passive friction based on a feedforward friction model. Average oxygen consumption in the uncompensated condition across all speeds, measured in Metabolic Equivalent of Task (METs), was statistically different than the friction compensated condition. There was an average decrease of 8.8% for METs and 1.9% for heart rate across all speeds. While oxygen consumption was reduced when the brace performed friction compensation, other factors may have a greater contribution to the metabolic energy consumption when using the device. Future studies will assess the effects of gravity compensation on the muscular effort required to lift the weight of the distal segments of the exoskeleton as well as the sagittal plane constraint on walking motions in individuals with spinal cord injuries (SCI).
Copyright © 2020 Reyes, Kobetic, Nandor, Makowski, Audu, Quinn and Triolo.

Entities:  

Keywords:  METs; compensation; consumption; exoskeleton; friction; metabolic; motorized

Year:  2020        PMID: 33362502      PMCID: PMC7759638          DOI: 10.3389/fnbot.2020.588950

Source DB:  PubMed          Journal:  Front Neurorobot        ISSN: 1662-5218            Impact factor:   2.650


  28 in total

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Review 2.  Review of hybrid exoskeletons to restore gait following spinal cord injury.

Authors:  Antonio J del-Ama; Aikaterini D Koutsou; Juan C Moreno; Ana de-los-Reyes; Angel Gil-Agudo; José L Pons
Journal:  J Rehabil Res Dev       Date:  2012

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Journal:  Paraplegia       Date:  1992-04

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Journal:  IEEE Trans Rehabil Eng       Date:  1997-03

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Authors:  Y Shimada; K Sato; E Abe; H Kagaya; K Ebata; M Oba; M Sato
Journal:  Spinal Cord       Date:  1996-10       Impact factor: 2.772

6.  Targeting recovery: priorities of the spinal cord-injured population.

Authors:  Kim D Anderson
Journal:  J Neurotrauma       Date:  2004-10       Impact factor: 5.269

7.  Metabolic costs and muscle activity patterns during robotic- and therapist-assisted treadmill walking in individuals with incomplete spinal cord injury.

Authors:  Jeffrey F Israel; Donielle D Campbell; Jennifer H Kahn; T George Hornby
Journal:  Phys Ther       Date:  2006-11

8.  Heart rate and oxygen demand of powered exoskeleton-assisted walking in persons with paraplegia.

Authors:  Pierre Asselin; Steven Knezevic; Stephen Kornfeld; Christopher Cirnigliaro; Irina Agranova-Breyter; William A Bauman; Ann M Spungen
Journal:  J Rehabil Res Dev       Date:  2015

Review 9.  Clinical effectiveness and safety of powered exoskeleton-assisted walking in patients with spinal cord injury: systematic review with meta-analysis.

Authors:  Larry E Miller; Angela K Zimmermann; William G Herbert
Journal:  Med Devices (Auckl)       Date:  2016-03-22

10.  A Subject-Specific Kinematic Model to Predict Human Motion in Exoskeleton-Assisted Gait.

Authors:  Diego Torricelli; Camilo Cortés; Nerea Lete; Álvaro Bertelsen; Jose E Gonzalez-Vargas; Antonio J Del-Ama; Iris Dimbwadyo; Juan C Moreno; Julian Florez; Jose L Pons
Journal:  Front Neurorobot       Date:  2018-04-27       Impact factor: 2.650

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  2 in total

1.  A Muscle-First, Electromechanical Hybrid Gait Restoration System in People With Spinal Cord Injury.

Authors:  Mark Nandor; Rudi Kobetic; Musa Audu; Ron Triolo; Roger Quinn
Journal:  Front Robot AI       Date:  2021-04-27

2.  Biologically Inspired Optimal Terminal Iterative Learning Control for the Swing Phase of Gait in a Hybrid Neuroprosthesis: A Modeling Study.

Authors:  Nathaniel S Makowski; Marshaun N Fitzpatrick; Ronald J Triolo; Ryan-David Reyes; Roger D Quinn; Musa Audu
Journal:  Bioengineering (Basel)       Date:  2022-02-12
  2 in total

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