Evidence map›Paper›PMID 33802731›Full record

ArticleSensors (Basel, Switzerland)2021

Kinect V2-Based Gait Analysis for Children with Cerebral Palsy: Validity and Reliability of Spatial Margin of Stability and Spatiotemporal Variables.

Yunru Ma, Kumar Mithraratne, Nichola Wilson, Yanxin Zhang, Xiangbin Wang

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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
3.2field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 29 citations in OpenAlex.

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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 2 institutions in 2 countries.

Yunru MaDepartment of Exercise Sciences, The University of Auckland, Auckland 1142, New Zealand.ORCID 0000-0002-7003-5343
Kumar MithraratneAuckland Bioengineering Institute, The University of Auckland, Auckland 1142, New Zealand.ORCID 0000-0001-8090-8876
Nichola WilsonDepartment of Surgery, The University of Auckland, Auckland 1142, New Zealand.
Yanxin ZhangDepartment of Exercise Sciences, The University of Auckland, Auckland 1142, New Zealand.ORCID 0000-0002-7638-1669
Xiangbin WangCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.
University of Auckland · NZFujian University of Traditional Chinese Medicine · CN

Funding

China Scholarship Council 201606520001National Natural Science Foundation of China 82074515
6 · The paper itself

Abstract

Children with cerebral palsy (CP) have high risks of falling. It is necessary to evaluate gait stability for children with CP. In comparison to traditional motion capture techniques, the Kinect has the potential to be utilised as a cost-effective gait stability assessment tool, ensuring frequent and uninterrupted gait monitoring. To evaluate the validity and reliability of this measurement, in this study, ten children with CP performed two testing sessions, of which gait data were recorded by a Kinect V2 sensor and a referential Motion Analysis system. The margin of stability (MOS) and gait spatiotemporal metrics were examined. For the spatiotemporal parameters, intraclass correlation coefficient (ICC

Indexed as

Cerebral PalsyGait AnalysisBiomechanical PhenomenaChildGaitHumansReproducibility of Resultscerebral palsyKinect V2margin of stabilityreliabilityspatiotemporalvalidity

Identifiers

PMID33802731
PMCPMC8002565
OpenAlexW3137355870

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.