Evidence map›Paper›PMID 32942645›Full record

ArticleSensors (Basel, Switzerland)2020

An Evaluation of Three Kinematic Methods for Gait Event Detection Compared to the Kinetic-Based 'Gold Standard'.

Nicole Zahradka, Khushboo Verma, Ahad Behboodi, Barry Bodt, Henry Wright, Samuel C K Lee

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 49 citations in OpenAlex.

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  5. Gait Event Detection From Thigh Segment Kinematics in Children With Crouch Gait.IEEE journal of translational engineering in health and medicine · 2026
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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

6 authors at 2 institutions in 1 country.

Nicole ZahradkaBiomechanics and Movement Science Program, University of Delaware, Newark, DE 19713, USA.
Khushboo VermaBiomechanics and Movement Science Program, University of Delaware, Newark, DE 19713, USA.ORCID 0000-0002-3127-2063
Ahad BehboodiBiomechanics and Movement Science Program, University of Delaware, Newark, DE 19713, USA.
Barry BodtBiostatistics Core Facility, College of Health Sciences, University of Delaware, Newark, DE 19713, USA.
Henry WrightDepartment of Physical Therapy, University of Delaware, Newark, DE 19713, USA.
Samuel C K LeeBiomechanics and Movement Science Program, University of Delaware, Newark, DE 19713, USA.ORCID 0000-0002-3749-2665
University of Delaware · USShriners Hospitals for Children - Philadelphia · US

Funding

NIH HHS P30 GM 102222Shriners Hospitals for Children 71011
6 · The paper itself

Abstract

Video- and sensor-based gait analysis systems are rapidly emerging for use in 'real world' scenarios outside of typical instrumented motion analysis laboratories. Unlike laboratory systems, such systems do not use kinetic data from force plates, rather, gait events such as initial contact (IC) and terminal contact (TC) are estimated from video and sensor signals. There are, however, detection errors inherent in kinematic gait event detection methods (GEDM) and comparative study between classic laboratory and video/sensor-based systems is warranted. For this study, three kinematic methods: coordinate based treadmill algorithm (CBTA), shank angular velocity (SK), and foot velocity algorithm (FVA) were compared to 'gold standard' force plate methods (GS) for determining IC and TC in adults (

Indexed as

FootGait AnalysisAdultAlgorithmsBiomechanical PhenomenaCerebral PalsyChildHumansReference Standardsgait analysisgait event detectionwearable sensors

Identifiers

PMID32942645
PMCPMC7571134
OpenAlexW3085973397

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.