Evidence map›Paper›PMID 35768486›Full record

ArticleScientific reports2022

Reducing the energy cost of walking with low assistance levels through optimized hip flexion assistance from a soft exosuit.

Jinsoo Kim, Brendan T Quinlivan, Lou-Ana Deprey, Dheepak Arumukhom Revi, Asa Eckert-Erdheim, Patrick Murphy, Dorothy Orzel, Conor J Walsh

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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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  16. Online Adaptation Framework Enables Personalization of Exoskeleton Assistance During Locomotion in Patients Affected by Stroke.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 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

8 authors.

Jinsoo Kim *John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, 02134, USA.
Brendan T Quinlivan *John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, 02134, USA.
Lou-Ana DepreyJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, 02134, USA.
Dheepak Arumukhom ReviJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, 02134, USA.
Asa Eckert-ErdheimJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, 02134, USA.
Patrick MurphyJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, 02134, USA.
Dorothy OrzelJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, 02134, USA.
Conor J WalshJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, 02134, USA. walsh@seas.harvard.edu.

Funding

Robotic Apparel to Enable Low Force Haptic Cueing for Improving Parkinson's GaitU01TR002775 · NCATS · HARVARD UNIVERSITY · PI ELLIS, THERESA, WALSH, CONOR · 2018 to 2021
$1.4M
NCATS NIH HHS U01 TR002775NIH HHS NIH U01TR002775
6 · The paper itself

Abstract

As we age, humans see natural decreases in muscle force and power which leads to a slower, less efficient gait. Improving mobility for both healthy individuals and those with muscle impairments/weakness has been a goal for exoskeleton designers for decades. In this work, we discover that significant reductions in the energy cost required for walking can be achieved with almost 50% less mechanical power compared to the state of the art. This was achieved by leveraging human-in-the-loop optimization to understand the importance of individualized assistance for hip flexion, a relatively unexplored joint motion. Specifically, we show that a tethered hip flexion exosuit can reduce the metabolic rate of walking by up to 15.2 ± 2.6%, compared to locomotion with assistance turned off (equivalent to 14.8% reduction compared to not wearing the exosuit). This large metabolic reduction was achieved with surprisingly low assistance magnitudes (average of 89 N, ~ 24% of normal hip flexion torque). Furthermore, the ratio of metabolic reduction to the positive exosuit power delivered was 1.8 times higher than ratios previously found for hip extension and ankle plantarflexion. These findings motivated the design of a lightweight (2.31 kg) and portable hip flexion assisting exosuit, that demonstrated a 7.2 ± 2.9% metabolic reduction compared to walking without the exosuit. The high ratio of metabolic reduction to exosuit power measured in this study supports previous simulation findings and provides compelling evidence that hip flexion may be an efficient joint motion to target when considering how to create practical and lightweight wearable robots to support improved mobility.

Indexed as

Exoskeleton DeviceRoboticsAnkleBiomechanical PhenomenaGaitHumansParesisWalking

Identifiers

PMID35768486
PMCPMC9243082

What Socratic 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 Socratic graph.