Evidence map›Paper›PMID 32705424›Full record

ArticleAnnals of biomedical engineering2021

Validity of Using Automated Two-Dimensional Video Analysis to Measure Continuous Sagittal Plane Running Kinematics.

Alexander T Peebles, Maddy M Carroll, John J Socha, Daniel Schmitt, Robin M Queen

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of biomedical engineering, 2021. 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
1.4field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 28 citations in OpenAlex.

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  10. Reduction of risk factors for ACL Re-injuries using an innovative biofeedback approach: A phase I randomized clinical trial.Physical therapy in sport : official journal of the Association of Chartered Physiotherapists in Sports Medicine · 2022
    Article
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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

5 authors at 3 institutions in 1 country.

Alexander T PeeblesDepartment of Biomedical Engineering and Mechanics, Virginia Tech, 495 Old Turner St, 300 Norris Hall, Blacksburg, VA, 24061, USA. apeebles@vt.edu.ORCID http://orcid.org/0000-0002-4448-2000
Maddy M CarrollDepartment of Biomedical Engineering and Mechanics, Virginia Tech, 495 Old Turner St, 300 Norris Hall, Blacksburg, VA, 24061, USA.
John J SochaDepartment of Biomedical Engineering and Mechanics, Virginia Tech, 495 Old Turner St, 300 Norris Hall, Blacksburg, VA, 24061, USA.
Daniel SchmittDepartment of Evolutionary Anthropology, Duke University, Durham, NC, USA.
Robin M QueenDepartment of Biomedical Engineering and Mechanics, Virginia Tech, 495 Old Turner St, 300 Norris Hall, Blacksburg, VA, 24061, USA.
Virginia Tech · USCarilion Clinic · USDuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two-dimensional video analysis is commonly used to assess kinematics when three-dimensional motion capture is unavailable. However, videos are often assessed using manual digitization, which limits the ability to extract outcomes that require continuous data. Here, we introduced a method to collect continuous kinematic data in 2D using an inexpensive camera and an open-source automated marker tracking program. We tested the validity of this method by comparing 2D video analysis to 3D motion capture for measuring sagittal-plane running kinematics. Twenty uninjured participants ran on a treadmill for 1-min while lower extremity kinematics were collected simultaneously in 3D using a motion capture system and in 2D using a single digital camera, both at 120 Hz. Knee, ankle, and foot angle at contact, peak knee flexion, knee flexion excursion, and knee-ankle flexion vector coding variability were computed using both the 3D and 2D kinematic data, and were compared using intraclass correlation coefficients and Bland-Altman plots. The agreement between collection methods was excellent for foot angle at contact and knee flexion excursion, good for ankle and knee angle at contact and knee-ankle vector coding variability, and moderate for peak knee flexion. However, Bland-Altman plots revealed significant differences between the 2D and 3D collection methods, which varied across study participants. These low-cost methods could be useful for collecting continuous sagittal plane running kinematics in non-laboratory settings.

Indexed as

Image Processing, Computer-AssistedAdultAnkle JointBiomechanical PhenomenaFemaleFoot JointsHumansKnee JointMaleRunningVideo RecordingYoung AdultGait analysisInjury preventionMotion analysisRehabilitationSoftware development

Identifiers

PMID32705424
OpenAlexW3043845897

What OpenQuestion holds

Textmetadata
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.