Evidence map›Paper›PMID 34663372›Full record

ArticleJournal of neuroengineering and rehabilitation2021

Optimized hip-knee-ankle exoskeleton assistance at a range of walking speeds.

Gwendolyn M Bryan, Patrick W Franks, Seungmoon Song, Alexandra S Voloshina, Ricardo Reyes, Meghan P O'Donovan, Karen N Gregorczyk, Steven H Collins

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Exoskeletons: Contribution to Occupational Health and Safety.Bioengineering (Basel, Switzerland) · 2023
    Review
  15. Assisting walking balance using a bio-inspired exoskeleton controller.Journal of neuroengineering and rehabilitation · 2023
    Article
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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

8 authors.

Gwendolyn M BryanDepartment of Mechanical Engineering, Stanford University, Stanford, USA. gbryan@stanford.edu.ORCID 0000-0002-9047-6680
Patrick W FranksDepartment of Mechanical Engineering, Stanford University, Stanford, USA.
Seungmoon SongDepartment of Mechanical Engineering, Stanford University, Stanford, USA.
Alexandra S VoloshinaMechanical and Aerospace Engineering, University of California, Irvine, USA.
Ricardo ReyesDepartment of Mechanical Engineering, Stanford University, Stanford, USA.
Meghan P O'DonovanU.S. Army Natick Soldier Research, Development and Engineering Center, Natick, USA.
Karen N GregorczykU.S. Army Natick Soldier Research, Development and Engineering Center, Natick, USA.
Steven H CollinsDepartment of Mechanical Engineering, Stanford University, Stanford, USA.

Funding

Simulation framework to develop ankle exoskeleton gait assistance for older adultsK99AG065524 · NIA · STANFORD UNIVERSITY · PI SONG, SEUNGMOON · 2020 to 2021
$257k
NIA NIH HHS K99 AG065524NIEHS NIH HHS 27303C0140NIH HHS K99AG065524
6 · The paper itself

Abstract

backgroundAutonomous exoskeletons will need to be useful at a variety of walking speeds, but it is unclear how optimal hip-knee-ankle exoskeleton assistance should change with speed. Biological joint moments tend to increase with speed, and in some cases, optimized ankle exoskeleton torques follow a similar trend. Ideal hip-knee-ankle exoskeleton torque may also increase with speed. The purpose of this study was to characterize the relationship between walking speed, optimal hip-knee-ankle exoskeleton assistance, and the benefits to metabolic energy cost.

methodsWe optimized hip-knee-ankle exoskeleton assistance to reduce metabolic cost for three able-bodied participants walking at 1.0 m/s, 1.25 m/s and 1.5 m/s. We measured metabolic cost, muscle activity, exoskeleton assistance and kinematics. We performed Friedman's tests to analyze trends across walking speeds and paired t-tests to determine if changes from the unassisted conditions to the assisted conditions were significant.

resultsExoskeleton assistance reduced the metabolic cost of walking compared to wearing the exoskeleton with no torque applied by 26%, 47% and 50% at 1.0, 1.25 and 1.5 m/s, respectively. For all three participants, optimized exoskeleton ankle torque was the smallest for slow walking, while hip and knee torque changed slightly with speed in ways that varied across participants. Total applied positive power increased with speed for all three participants, largely due to increased joint velocities, which consistently increased with speed.

conclusionsExoskeleton assistance is effective at a range of speeds and is most effective at medium and fast walking speeds. Exoskeleton assistance was less effective for slow walking, which may explain the limited success in reducing metabolic cost for patient populations through exoskeleton assistance. Exoskeleton designers may have more success when targeting activities and groups with faster walking speeds. Speed-related changes in optimized exoskeleton assistance varied by participant, indicating either the benefit of participant-specific tuning or that a wide variety of torque profiles are similarly effective.

Indexed as

Exoskeleton DeviceWalking SpeedAnkleAnkle JointBiomechanical PhenomenaGaitHumansWalkingAugmentationExoskeletonHuman-in-the-loop optimizationWalking speed

Identifiers

PMID34663372
PMCPMC8521270

What OpenQuestion holds

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LicenceCC BY
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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.