Evidence map›Paper›PMID 38167151›Full record

ArticleJournal of neuroengineering and rehabilitation2024

Optimizing exoskeleton assistance to improve walking speed and energy economy for older adults.

Ava Lakmazaheri, Seungmoon Song, Brian B Vuong, Blake Biskner, Deborah M Kado, Steven H Collins

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–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

31 citing papers in PubMed.

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  19. Task-Agnostic Exoskeleton Torque Assistance Reduces Ankle Osteoarthritis Pain: A Pilot Study.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  20. A Task-Agnostic Hip Exoskeleton for Osteoarthritis Pain Relief: Energetic Control Across Activities of Daily Life.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
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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

6 authors.

Ava Lakmazaheri *Department of Mechanical Engineering, Stanford University, Stanford, CA, USA.
Seungmoon Song *Department of Mechanical Engineering, Stanford University, Stanford, CA, USA.
Brian B VuongDepartment of Mechanical Engineering, Stanford University, Stanford, CA, USA.
Blake BisknerDepartment of Mechanical Engineering, Stanford University, Stanford, CA, USA.
Deborah M KadoGeriatrics Research Education and Clinical Center, Veterans Affairs, Palo Alto, CA, USA.
Steven H CollinsDepartment of Mechanical Engineering, Stanford University, Stanford, CA, USA. stevecollins@stanford.edu.

Funding

Simulation framework to develop ankle exoskeleton gait assistance for older adultsR00AG065524 · NIA · NORTHEASTERN UNIVERSITY · PI SONG, SEUNGMOON · 2022 to 2024
$727k
NIA NIH HHS R00 AG065524NIH HHS R00AG065524
6 · The paper itself

Abstract

backgroundWalking speed and energy economy tend to decline with age. Lower-limb exoskeletons have demonstrated potential to improve either measure, but primarily in studies conducted on healthy younger adults. Promising techniques like optimization of exoskeleton assistance have yet to be tested with older populations, while speed and energy consumption have yet to be simultaneously optimized for any population.

methodsWe investigated the effectiveness of human-in-the-loop optimization of ankle exoskeletons with older adults. Ten healthy adults > 65 years of age (5 females; mean age: 72 ± 3 yrs) participated in approximately 240 min of training and optimization with tethered ankle exoskeletons on a self-paced treadmill. Multi-objective human-in-the-loop optimization was used to identify assistive ankle plantarflexion torque patterns that simultaneously improved self-selected walking speed and metabolic rate. The effects of optimized exoskeleton assistance were evaluated in separate trials.

resultsOptimized exoskeleton assistance improved walking performance for older adults. Both objectives were simultaneously improved; self-selected walking speed increased by 8% (0.10 m/s; p = 0.001) and metabolic rate decreased by 19% (p = 0.007), resulting in a 25% decrease in energetic cost of transport (p = 8e-4) compared to walking with exoskeletons applying zero torque. Compared to younger participants in studies optimizing a single objective, our participants required lower exoskeleton torques, experienced smaller improvements in energy use, and required more time for motor adaptation.

conclusionsOur results confirm that exoskeleton assistance can improve walking performance for older adults and show that multiple objectives can be simultaneously addressed through human-in-the-loop optimization.

Indexed as

Exoskeleton DeviceAgedAnkleAnkle JointBiomechanical PhenomenaElectromyographyFemaleGaitHumansWalkingWalking SpeedAgingEnergy costExoskeletonsGait speedHuman-in-the-loop optimizationMotor learning

Identifiers

PMID38167151
PMCPMC10763092

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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.