Evidence map›Paper›PMID 32210750›Full record

ArticleFrontiers in neuroscience2020

Motorized Shoes Induce Robust Sensorimotor Adaptation in Walking.

Yashar Aucie, Xunjie Zhang, Randy Sargent, Gelsy Torres-Oviedo

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Gait Adaptation to Asymmetric Hip Stiffness Applied by a Robotic Exoskeleton.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024
    Article
  3. Article
  4. Article
  5. Article
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

4 authors.

Yashar AucieDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, United States.
Xunjie ZhangNimbus Robotics, Pittsburgh, PA, United States.
Randy SargentThe Robotics Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, United States.
Gelsy Torres-OviedoDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, United States.

Funding

A computational approach for understanding locomotor learning post-strokeK01NS092785 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TORRES-OVIEDO, GELSY · 2016 to 2018
$673k
NINDS NIH HHS K01 NS092785
6 · The paper itself

Abstract

The motor system has the flexibility to update motor plans according to systematic changes in the environment or the body. This capacity is studied in the laboratory through sensorimotor adaptation paradigms imposing sustained and predictable motor demands specific to the task at hand. However, these studies are tied to the laboratory setting. Thus, we asked if a portable device could be used to elicit locomotor adaptation outside the laboratory. To this end, we tested the extent to which a pair of motorized shoes could induce similar locomotor adaptation to split-belt walking, which is a well-established sensorimotor adaptation paradigm in locomotion. We specifically compared the adaptation effects (i.e. after-effects) between two groups of young, healthy participants walking with the legs moving at different speeds by either a split-belt treadmill or a pair of motorized shoes. The speeds at which the legs moved in the split-belt group was set by the belt speed under each foot, whereas in the motorized shoes group were set by the combined effect of the actuated shoes and the belts' moving at the same speed. We found that the adaptation of joint motions and measures of spatial and temporal asymmetry, which are commonly used to quantify sensorimotor adaptation in locomotion, were indistinguishable between groups. We only found small differences in the joint angle kinematics during baseline walking between the groups - potentially due to the weight and height of the motorized shoes. Our results indicate that robust sensorimotor adaptation in walking can be induced with a paired of motorized shoes, opening the exciting possibility to study sensorimotor adaptation during more realistic situations outside the laboratory.

Indexed as

locomotionmotor learningportable devicereal-worldrehabilitation robotics

Identifiers

PMID32210750
PMCPMC7069354

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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.