Evidence map›Paper›PMID 34743714›Full record

ArticleJournal of neuroengineering and rehabilitation2021

Optimized hip-knee-ankle exoskeleton assistance reduces the metabolic cost of walking with worn loads.

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

Open access · goldAbstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Biomechanical models in the lower-limb exoskeletons development: a review.Journal of neuroengineering and rehabilitation · 2025
    Review
  4. Human-exoskeleton interaction portrait.Journal of neuroengineering and rehabilitation · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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

7 authors at 3 institutions in 1 country.

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.
Ricardo ReyesDepartment of Mechanical Engineering, Stanford University, Stanford, USA.
Meghan P O'DonovanDevelopment and Engineering Center, U.S. Army Natick Soldier Research, Natick, USA.
Karen N GregorczykDevelopment and Engineering Center, U.S. Army Natick Soldier Research, Natick, USA.
Steven H CollinsDepartment of Mechanical Engineering, Stanford University, Stanford, USA.
Stanford University · USCombat Capabilities Development Command Soldier Center · USStanford Medicine · US

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

backgroundLoad carriage is common in a wide range of professions, but prolonged load carriage is associated with increased fatigue and overuse injuries. Exoskeletons could improve the quality of life of these professionals by reducing metabolic cost to combat fatigue and reducing muscle activity to prevent injuries. Current exoskeletons have reduced the metabolic cost of loaded walking by up to 22% relative to walking in the device with no assistance when assisting one or two joints. Greater metabolic reductions may be possible with optimized assistance of the entire leg.

methodsWe used human-in the-loop optimization to optimize hip-knee-ankle exoskeleton assistance with no additional load, a light load (15% of body weight), and a heavy load (30% of body weight) for three participants. All loads were applied through a weight vest with an attached waist belt. We measured metabolic cost, exoskeleton assistance, kinematics, and muscle activity. We performed Friedman's tests to analyze trends across worn loads and paired t-tests to determine whether changes from the unassisted conditions to the assisted conditions were significant.

resultsExoskeleton assistance reduced the metabolic cost of walking relative to walking in the device without assistance for all tested conditions. Exoskeleton assistance reduced the metabolic cost of walking by 48% with no load (p = 0.05), 41% with the light load (p = 0.01), and 43% with the heavy load (p = 0.04). The smaller metabolic reduction with the light load may be due to insufficient participant training or lack of optimizer convergence. The total applied positive power was similar for all tested conditions, and the positive knee power decreased slightly as load increased. Optimized torque timing parameters were consistent across participants and load conditions while optimized magnitude parameters varied.

conclusionsWhole-leg exoskeleton assistance can reduce the metabolic cost of walking while carrying a range of loads. The consistent optimized timing parameters across participants and conditions suggest that metabolic cost reductions are sensitive to torque timing. The variable torque magnitude parameters could imply that torque magnitude should be customized to the individual, or that there is a range of useful torque magnitudes. Future work should test whether applying the load to the exoskeleton rather than the person's torso results in larger benefits.

Indexed as

Exoskeleton DeviceAnkleAnkle JointBiomechanical PhenomenaEnergy MetabolismHumansQuality of LifeWalkingAugmentationExoskeletonHuman-in-the-loop optimizationLoad-carriage

Identifiers

PMID34743714
PMCPMC8572578
OpenAlexW3171225628

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.