Evidence map›Paper›PMID 34123407›Full record

ArticleJournal of rehabilitation and assistive technologies engineering

Feasibility of a real-time pattern-based kinematic feedback system for gait retraining in pediatric cerebral palsy.

Xuan Liu, Nuno Oliveira, Naphtaly Ehrenberg, JenFu Cheng, Katherine Bentley, Sheila Blochlinger, Hannah Shoval, Peter Barrance

Abstract read
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Article in Journal of rehabilitation and assistive technologies engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 1 synthesis or guideline 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

8 authors.

Xuan LiuCenter for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, NJ, USA.ORCID https://orcid.org/0000-0001-6442-7386
Nuno OliveiraCenter for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, NJ, USA.
Naphtaly EhrenbergCenter for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, NJ, USA.ORCID https://orcid.org/0000-0002-0430-4576
JenFu ChengDepartment of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA.
Katherine BentleyDepartment of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA.
Sheila BlochlingerRehabilitation Technology Department, Children's Specialized Hospital, Mountainside, NJ, USA.
Hannah ShovalDepartment of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA.
Peter BarranceCenter for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionVisual biofeedback of lower extremity kinematics has the potential to enhance retraining of pathological gait patterns. We describe a system that uses wearable inertial measurement units to provide kinematic feedback on error measures generated during periods of gait in which the knee is predominantly extended ('extension period') and flexed ('flexion period').

methodsWe describe the principles of operation of the system, a validation study on the inertial measurement unit derived knee flexion angle on which the system is based, and a feasibility study to assess the ability of a child with cerebral palsy to modify a gait deviation (decreased swing phase knee flexion) in response to the feedback.

resultsThe validation study demonstrated strong convergent validity with an independent measurement of knee flexion angle. The gait pattern observed during training with the system exhibited increased flexion in the flexion period with maintenance of appropriate extension in the extension period.

conclusionsInertial measurement units can provide robust feedback during gait training. A child with cerebral palsy was able to interpret the novel two phase visual feedback and respond with rapid gait adaptation in a single training session. With further development, the system has the potential to support clinical retraining of deviated gait patterns.

Indexed as

biofeedbackcerebral palsyGait retrainingkneereal-time feedback

Identifiers

PMID34123407
PMCPMC8175836

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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.