Evidence map›Paper›PMID 35408349›Full record

ArticleSensors (Basel, Switzerland)2022

Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching.

Germain Faity, Denis Mottet, Jérôme Froger

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 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

3 authors at 1 institution in 1 country.

Germain FaityEuromov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, 34090 Montpellier, France.ORCID 0000-0002-6855-8938
Denis MottetEuromov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, 34090 Montpellier, France.ORCID 0000-0002-7564-5394
Jérôme FrogerEuromov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, CHU de Nîmes, 30240 Le Grau du Roi, France.
Université de Montpellier · FR

Funding

LabEx NUMEV, I-SITE MUSE ANR-10-LABX-0020
6 · The paper itself

Abstract

Kinematic analysis of the upper limbs is a good way to assess and monitor recovery in individuals with stroke, but it remains little used in clinical routine due to its low feasibility. The aim of this study is to assess the validity and reliability of the Kinect v2 for the analysis of upper limb reaching kinematics. Twenty-six healthy participants performed seated hand-reaching tasks while holding a dumbbell to induce behaviour similar to that of stroke survivors. With the Kinect v2 and with the VICON, 3D upper limb and trunk motions were simultaneously recorded. The Kinect assesses trunk compensations, hand range of motion, movement time and mean velocity with a moderate to excellent reliability. In contrast, elbow and shoulder range of motion, time to peak velocity and path length ratio have a poor to moderate reliability. Finally, instantaneous hand and elbow tracking are not precise enough to reliably assess the number of velocity peaks and the peak hand velocity. Thanks to its ease of use and markerless properties, the Kinect can be used in clinical routine for semi-automated quantitative diagnostics guiding individualised rehabilitation of the upper limb. However, engineers and therapists must bear in mind the tracking limitations of the Kinect.

Indexed as

StrokeUpper ExtremityBiomechanical PhenomenaHumansRange of Motion, ArticularReproducibility of ResultsKinectkinematicsmarkerlessmocapmotion capturePANUreachingrehabilitationstrokeupper limb

Identifiers

PMID35408349
PMCPMC9003545
OpenAlexW4225988892

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.