Evidence map›Paper›PMID 31804559›Full record

ArticleScientific reports2019

A low-cost 2-D video system can accurately and reliably assess adaptive gait kinematics in healthy and low vision subjects.

Tjerk Zult, Jonathan Allsop, Juan Tabernero, Shahina Pardhan

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Establishing the Reliability of the GaitONSensors (Basel, Switzerland) · 2024
    Article
  6. Impact of Peripheral Refractive Errors in Mobility Performance.Investigative ophthalmology & visual science · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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.

Tjerk ZultVision and Eye Research Institute, Faculty of Health, Education, Medicine, and Social Care, Anglia Ruskin University, Cambridge, United Kingdom. tjerk.zult@anglia.ac.uk.ORCID http://orcid.org/0000-0002-8217-4295
Jonathan AllsopVision and Eye Research Institute, Faculty of Health, Education, Medicine, and Social Care, Anglia Ruskin University, Cambridge, United Kingdom.
Juan TaberneroVision and Eye Research Institute, Faculty of Health, Education, Medicine, and Social Care, Anglia Ruskin University, Cambridge, United Kingdom.ORCID http://orcid.org/0000-0002-5149-8350
Shahina PardhanVision and Eye Research Institute, Faculty of Health, Education, Medicine, and Social Care, Anglia Ruskin University, Cambridge, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

3-D gait analysis is the gold standard but many healthcare clinics and research institutes would benefit from a system that is inexpensive and simple but just as accurate. The present study examines whether a low-cost 2-D motion capture system can accurately and reliably assess adaptive gait kinematics in subjects with central vision loss, older controls, and younger controls. Subjects were requested to walk up and step over a 10 cm high obstacle that was positioned in the middle of a 4.5 m walkway. Four trials were simultaneously recorded with the Vicon motion capture system (3-D system) and a video camera that was positioned perpendicular to the obstacle (2-D system). The kinematic parameters (crossing height, crossing velocity, foot placement, single support time) were calculated offline. Strong Pearson's correlations were found between the two systems for all parameters (average r = 0.944, all p < 0.001). Bland-Altman analysis showed that the agreement between the two systems was good in all three groups after correcting for systematic biases related to the 2-D marker positions. The test-retest reliability for both systems was high (average ICC = 0.959). These results show that a low-cost 2-D video system can reliably and accurately assess adaptive gait kinematics in healthy and low vision subjects.

Indexed as

Adaptation, PhysiologicalAdultAgedBiomechanical PhenomenaCase-Control StudiesFemaleGaitGait AnalysisHumansMacular DegenerationMaleVideo RecordingVision, LowVisual AcuityWalking

Identifiers

PMID31804559
PMCPMC6895082

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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.