Evidence map›Paper›PMID 32674710›Full record

ArticleJournal of the Royal Society, Interface2020

Task-level regulation enhances global stability of the simplest dynamic walker.

Navendu S Patil, Jonathan B Dingwell, Joseph P Cusumano

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Assessing running stability: a systematic review of methods.BMC sports science, medicine & rehabilitation · 2026
    Pooled it
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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

3 authors.

Navendu S PatilDepartment of Kinesiology, Pennsylvania State University, University Park, PA 16802, USA.
Jonathan B DingwellDepartment of Kinesiology, Pennsylvania State University, University Park, PA 16802, USA.
Joseph P CusumanoDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA 16802, USA.

Funding

Improving Lateral Stepping Control to Reduce Falls in the ElderlyR01AG049735 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI DINGWELL, JONATHAN B · 2016 to 2020
$1.9M
NIA NIH HHS R01 AG049735
6 · The paper itself

Abstract

Much remains unknown about how considerations such as stability and energy minimization shape the way humans walk. While active neuromotor control keeps humans upright, they also need to choose from multiple stepping regulation strategies to achieve one or more task goals, such as maintaining a desired speed or direction. Experiments on human treadmill walking motivate an important question: why do humans prefer one task-level regulation strategy over another-perhaps to enhance their ability to reject large disturbances? Here, we study the relationship between task-level regulation and global stability in a powered compass walker on a treadmill, with added step-to-step speed and position regulators. For treadmill walking, we find that speed regulation greatly enlarges and regularizes the unregulated walker's stability region, i.e. its basin of attraction, much more than position regulation. Thus, our results suggest a possible explanation for the experimental finding that humans strongly prioritize regulating speed from one stride to the next, even as they walk economically on average. Furthermore, our work suggests a functional connection between task-level motor regulation and global stability-and, thus, perhaps even fall risk.

Indexed as

GaitWalkingHumansbasin of attractionbipedal walkingfall riskglobal stabilityredundancytask-level regulation

Identifiers

PMID32674710
PMCPMC7423424

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.