Evidence map›Paper›PMID 34757803›Full record

ArticleScience robotics2021

Individualization of exosuit assistance based on measured muscle dynamics during versatile walking.

R W Nuckols, S Lee, K Swaminathan, D Orzel, R D Howe, C J Walsh

Abstract read
In one paragraph

Article in Science robotics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

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  9. Multi-Modal Sensing for Propulsion Estimation in People Post-Stroke Across Speeds.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
  10. Article
  11. Article
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  13. Human-exoskeleton interaction portrait.Journal of neuroengineering and rehabilitation · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

R W NuckolsJohn A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID 0000-0002-6543-2424
S LeeJohn A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID 0000-0002-8262-8314
K SwaminathanJohn A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID 0000-0001-7570-1408
D OrzelJohn A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID 0000-0003-4067-2306
R D HoweJohn A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID 0000-0002-1392-227X
C J WalshJohn A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID 0000-0002-2744-917X

Funding

Development of a Modular Soft Exosuit Platform Suitable for Community-Based NeurorehabilitationR01HD088619 · NICHD · HARVARD UNIVERSITY · PI WALSH, CONOR · 2016 to 2021
$3.9M
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
Real-time quantification of muscle-tendon dynamics for individualized and adaptive robot-assisted locomotionR21AR076686 · NIAMS · HARVARD UNIVERSITY · PI HOWE, ROBERT D · 2020 to 2021
$415k
NCATS NIH HHS U01 TR002775NIAMS NIH HHS R21 AR076686NICHD NIH HHS R01 HD088619
6 · The paper itself

Abstract

Variability in human walking depends on individual physiology, environment, and walking task. Consequently, in the field of wearable robotics, there is a clear need for customizing assistance to the user and task. Here, we developed a muscle-based assistance (MBA) strategy wherein exosuit assistance was derived from direct measurements of individuals’ muscle dynamics during specific tasks. We recorded individuals’ soleus muscle dynamics using ultrasonographic imaging during multiple walking speeds and inclines. From these prerecorded images, we estimated the force produced by the soleus through inefficient concentric contraction and designed the exosuit assistance profile to be proportional to that estimated force. We evaluated this approach with a bilateral ankle exosuit at each measured walking task. Compared with not wearing a device, the MBA ankle exosuit significantly reduced metabolic demand by an average of 15.9, 9.7, and 8.9% for level walking at 1.25, 1.5, and 1.75 meters second

Indexed as

Exoskeleton DeviceStress, MechanicalWalkingAdultAnkleAnkle JointBiomechanical PhenomenaElectromyographyFemaleHumansKineticsMaleMovementMuscle, SkeletalRoboticsTendons

Identifiers

PMID34757803
PMCPMC9052350

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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.