Evidence map›Paper›PMID 32857774›Full record

ArticlePloS one2020

Mechanics of walking and running up and downhill: A joint-level perspective to guide design of lower-limb exoskeletons.

Richard W Nuckols, Kota Z Takahashi, Dominic J Farris, Sarai Mizrachi, Raziel Riemer, Gregory S Sawicki

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 84 citations in OpenAlex.

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  6. A Doppler Ultrasound Method to Measure Vascular Responses to Walking.bioRxiv : the preprint server for biology · 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 at 5 institutions in 3 countries.

Richard W NuckolsSchool of Engineering and Applied Sciences, Harvard University and Wyss Institute, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-6543-2424
Kota Z TakahashiDepartment of Biomechanics, University of Nebraska at Omaha, Omaha, Nebraska, United States of America.
Dominic J FarrisDepartment of Sport and Health Sciences, University of Exeter, St Luke's Campus, Exeter, United Kingdom.
Sarai MizrachiDepartment of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Raziel RiemerDepartment of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Gregory S SawickiSchool of Mechanical Engineering and Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Ben-Gurion University of the Negev · ILGeorgia Institute of Technology · USHarvard University · USUniversity of Exeter · GBUniversity of Nebraska at Omaha · US

Funding

NIEHS NIH HHS 27303C0140
6 · The paper itself

Abstract

Lower-limb wearable robotic devices can improve clinical gait and reduce energetic demand in healthy populations. To help enable real-world use, we sought to examine how assistance should be applied in variable gait conditions and suggest an approach derived from knowledge of human locomotion mechanics to establish a 'roadmap' for wearable robot design. We characterized the changes in joint mechanics during walking and running across a range of incline/decline grades and then provide an analysis that informs the development of lower-limb exoskeletons capable of operating across a range of mechanical demands. We hypothesized that the distribution of limb-joint positive mechanical power would shift to the hip for incline walking and running and that the distribution of limb-joint negative mechanical power would shift to the knee for decline walking and running. Eight subjects (6M,2F) completed five walking (1.25 m s-1) trials at -8.53°, -5.71°, 0°, 5.71°, and 8.53° grade and five running (2.25 m s-1) trials at -5.71°, -2.86°, 0°, 2.86°, and 5.71° grade on a treadmill. We calculated time-varying joint moment and power output for the ankle, knee, and hip. For each gait, we examined how individual limb-joints contributed to total limb positive, negative and net power across grades. For both walking and running, changes in grade caused a redistribution of joint mechanical power generation and absorption. From level to incline walking, the ankle's contribution to limb positive power decreased from 44% on the level to 28% at 8.53° uphill grade (p < 0.0001) while the hip's contribution increased from 27% to 52% (p < 0.0001). In running, regardless of the surface gradient, the ankle was consistently the dominant source of lower-limb positive mechanical power (47-55%). In the context of our results, we outline three distinct use-modes that could be emphasized in future lower-limb exoskeleton designs 1) Energy injection: adding positive work into the gait cycle, 2) Energy extraction: removing negative work from the gait cycle, and 3) Energy transfer: extracting energy in one gait phase and then injecting it in another phase (i.e., regenerative braking).

Indexed as

AdultAnkleAnkle JointBiomechanical PhenomenaExoskeleton DeviceFemaleGaitGait AnalysisHipHip JointHumansKneeKnee JointLocomotionLower ExtremityMale

Identifiers

PMID32857774
PMCPMC7454943
OpenAlexW3082153094

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.