Evidence map›Paper›PMID 30001726›Full record

ArticleJournal of neuroengineering and rehabilitation2018

Autonomous multi-joint soft exosuit with augmentation-power-based control parameter tuning reduces energy cost of loaded walking.

Sangjun Lee, Jinsoo Kim, Lauren Baker, Andrew Long, Nikos Karavas, Nicolas Menard, Ignacio Galiana, Conor J Walsh

Abstract 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 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. Can humans perceive the metabolic benefit provided by augmentative exoskeletons?Journal of neuroengineering and rehabilitation · 2022
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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.

Sangjun LeeJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Jinsoo KimJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Lauren BakerJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Andrew LongJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Nikos KaravasJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Nicolas MenardJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Ignacio GalianaJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Conor J WalshJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA. walsh@seas.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSoft exosuits are a recent approach for assisting human locomotion, which apply assistive torques to the wearer through functional apparel. Over the past few years, there has been growing recognition of the importance of control individualization for such gait assistive devices to maximize benefit to the wearer. In this paper, we present an updated version of autonomous multi-joint soft exosuit, including an online parameter tuning method that customizes control parameters for each individual based on positive ankle augmentation power.

methodsThe soft exosuit is designed to assist with plantarflexion, hip flexion, and hip extension while walking. A mobile actuation system is mounted on a military rucksack, and forces generated by the actuation system are transmitted via Bowden cables to the exosuit. The controller performs an iterative force-based position control of the Bowden cables on a step-by-step basis, delivering multi-articular (plantarflexion and hip flexion) assistance during push-off and hip extension assistance in early stance. To individualize the multi-articular assistance, an online parameter tuning method was developed that customizes two control parameters to maximize the positive augmentation power delivered to the ankle. To investigate the metabolic efficacy of the exosuit with wearer-specific parameters, human subject testing was conducted involving walking on a treadmill at 1.50 m s

resultsThe online parameter tuning method was capable of customizing the control parameters, creating a positive ankle augmentation power map for each individual. The subject-specific control parameters and resultant assistance profile shapes varied across the study participants. The exosuit with the wearer-specific parameters significantly reduced the metabolic cost of load carriage by 14.88 ± 1.09% (P = 5 × 10

conclusionThe autonomous multi-joint soft exosuit with subject-specific control parameters tuned based on positive ankle augmentation power demonstrated the ability to improve human walking economy. Future studies will further investigate the effect of the augmentation-power-based control parameter tuning on wearer biomechanics and energetics.

Indexed as

Exoskeleton DeviceAdultAnkle JointBiomechanical PhenomenaEnergy MetabolismGaitHumansMaleRoboticsWalkingAssistanceAugmentation powerControlExosuitMetabolic costTuning

Identifiers

PMID30001726
PMCPMC6044002

What OpenQuestion holds

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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.