Evidence map›Paper›PMID 36906966›Full record

ArticleJournal of biomechanics2023

EMG-informed neuromuscular model assesses the effects of varied bodyweight support on muscles during overground walking.

Angel Bu, Mhairi K MacLean, Daniel P Ferris

Abstract read
In one paragraph

Article in Journal of biomechanics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Angel BuDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: angelbu@mit.edu.
Mhairi K MacLeanDepartment of Biomechanical Engineering, University of Twente, Enschede, the Netherlands.
Daniel P FerrisJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.

Funding

Supraspinal Control of Human Locomotor AdaptationR01NS104772 · NINDS · UNIVERSITY OF FLORIDA · PI Daniel P Ferris · 2018 to 2026
$3.9M
NINDS NIH HHS R01 NS104772
6 · The paper itself

Abstract

Bodyweight supported walking is a common gait rehabilitation method that can be used as an experimental approach to better understand walking biomechanics. Neuromuscular modeling can provide an analytical means to gain insight into how muscles coordinate to produce walking and other movements. To better understand how muscle length and velocity affect muscle force during overground walking with bodyweight support, we used an electromyography (EMG)-informed neuromuscular model to investigate changes in muscle parameters (muscle force, activation and fiber length) at varying bodyweight support levels: 0%, 24%, 45% and 69% bodyweight. Coupled constant force springs provided a vertical support force while we collected biomechanical data (EMG, motion capture and ground reaction forces) from healthy, neurologically intact participants walking at 1.20 ± 0.06 m/s. The lateral and medial gastrocnemius demonstrated a significant decrease in muscle force (lateral: p = 0.002 and medial: p < 0.001) and activation (lateral: p = 0.007 and medial: p < 0.001) through push-off at higher levels of support. The soleus, in contrast, had no significant change in muscle activation through push-off (p = 0.652) regardless of bodyweight support level even though soleus muscle force decreased with increasing support (p < 0.001). During push-off, the soleus had shorter muscle fiber lengths and faster shortening velocities as bodyweight support levels increased. These results provide insight into how muscle force can be decoupled from effective bodyweight during bodyweight supported walking due to changes in muscle fiber dynamics. The findings contribute evidence that clinicians and biomechanists should not expect a reduction in muscle activation and force when using bodyweight support to assist gait during rehabilitation.

Indexed as

Muscle, SkeletalWalkingBiomechanical PhenomenaBody WeightElectromyographyGaitHumansMuscle Fibers, SkeletalBodyweight supportCEINMSElectromyographyNeuromuscular modelingOpenSim

Identifiers

PMID36906966
PMCPMC10050108

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.