Evidence map›Paper›PMID 29298705›Full record

ArticleJournal of neuroengineering and rehabilitation2018

Motor modules during adaptation to walking in a powered ankle exoskeleton.

Daniel A Jacobs, Jeffrey R Koller, Katherine M Steele, Daniel P Ferris

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  15. Motor primitives are determined in early development and are then robustly conserved into adulthood.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
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  19. Wearable Movement Sensors for Rehabilitation: A Focused Review of Technological and Clinical Advances.PM & R : the journal of injury, function, and rehabilitation · 2018
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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

4 authors at 4 institutions in 1 country.

Daniel A JacobsDepartment of Mechanical Engineering, Temple University, 1947 N. 12th Street, Philadelphia, PA, USA. dajacobs@temple.edu.ORCID 0000-0002-1745-2260
Jeffrey R KollerDepartment of Mechanical Engineering, University of Washington, 3900 E Stevens Way NE, Seattle, WA, USA.
Katherine M SteeleDepartment of Mechanical Engineering, University of Michigan, 2350 Hayward St, Ann Arbor, MI, USA.
Daniel P FerrisDepartment of Biomedical Engineering, University of Florida, 1275 Center Drive, Gainesville, FL, USA.
Temple University · USUniversity of Florida · USUniversity of Michigan · USUniversity of Washington · US

Funding

NSF CBET-1452646US Department of Defense W81XWH-09-2-0142
6 · The paper itself

Abstract

backgroundModules of muscle recruitment can be extracted from electromyography (EMG) during motions, such as walking, running, and swimming, to identify key features of muscle coordination. These features may provide insight into gait adaptation as a result of powered assistance. The aim of this study was to investigate the changes (module size, module timing and weighting patterns) of surface EMG data during assisted and unassisted walking in an powered, myoelectric, ankle-foot orthosis (ankle exoskeleton).

methodsEight healthy subjects wore bilateral ankle exoskeletons and walked at 1.2 m/s on a treadmill. In three training sessions, subjects walked for 40 min in two conditions: unpowered (10 min) and powered (30 min). During each session, we extracted modules of muscle recruitment via nonnegative matrix factorization (NNMF) from the surface EMG signals of ten muscles in the lower limb. We evaluated reconstruction quality for each muscle individually using R

resultsAcross subjects, we found that six modules were sufficient to reconstruct the muscle data for both conditions, suggesting that the number of modules was preserved. The similarity of module timings and weightings between conditions was greater then random chance, indicating that muscle coordination was also preserved. Motor adaptation during walking in the exoskeleton was dominated by changes in the module timings rather than module weightings. The segment number and the session number were significant fixed effects in a linear mixed-effect model for the increase in R

conclusionsOur results show that subjects walking in a exoskeleton preserved the number of modules and the coordination of muscles within the modules across conditions. Training (motor adaptation within the session and motor skill consolidation across sessions) led to improved consistency of the muscle patterns. Subjects adapted primarily by changing the timing of their muscle patterns rather than the weightings of muscles in the modules. The results of this study give new insight into strategies for muscle recruitment during adaptation to a powered ankle exoskeleton.

Indexed as

Exoskeleton DeviceRoboticsAdaptation, PhysiologicalAnkle JointBiomechanical PhenomenaElectromyographyGaitHealthy VolunteersHumansMaleMotor SkillsMuscle, SkeletalWalkingYoung AdultAdaptationBilateral assistanceExoskeletonGaitMotor moduleNeuromechanics

Identifiers

PMID29298705
PMCPMC5751608
OpenAlexW2782388708

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.