Validity and reliability of an iPad with a three-dimensional camera for posture imaging.


Journal

Gait & posture
ISSN: 1879-2219
Titre abrégé: Gait Posture
Pays: England
ID NLM: 9416830

Informations de publication

Date de publication:
02 2019
Historique:
received: 16 09 2018
revised: 19 11 2018
accepted: 13 12 2018
pubmed: 24 12 2018
medline: 23 4 2019
entrez: 24 12 2018
Statut: ppublish

Résumé

It is important to quantify a static posture to evaluate the need for and effectiveness of interventions such as physical management, physiotherapy, spinal orthosis or surgical treatment on the alignment of body segments. Motion analysis systems can be used for this purpose, but they are expensive, require a high degree of technical experience and are not easily accessible. A simpler method is needed to quantify static posture. Assess validity and inter and intra rater reliability using an iPad with a 3-D camera to evaluate posture and postural deformity. A 3-D model of a lying posture, created using an iPad with a 3-D camera, was compared to a Qualisys motion analysis system of the same lying posture, the latter used as the gold standard. Markers on the trunk and the leg were captured by both systems, and results from distance and angle measurements were compared. All intra-class correlation coefficient values were above 0.98, the highest systematic error was 4.3 mm for length measurements and 0.2° for angle measurements. A 3-D model of a person, with markers on anatomical landmarks, created with an iPad with a 3-D camera, is a valid and reliable method of quantifying static posture. An iPad with a 3-D camera is a relatively inexpensive, valid and reliable method to quantify static posture in a clinical environment.

Sections du résumé

BACKGROUND
It is important to quantify a static posture to evaluate the need for and effectiveness of interventions such as physical management, physiotherapy, spinal orthosis or surgical treatment on the alignment of body segments. Motion analysis systems can be used for this purpose, but they are expensive, require a high degree of technical experience and are not easily accessible. A simpler method is needed to quantify static posture.
RESEARCH OBJECTIVE
Assess validity and inter and intra rater reliability using an iPad with a 3-D camera to evaluate posture and postural deformity.
METHOD
A 3-D model of a lying posture, created using an iPad with a 3-D camera, was compared to a Qualisys motion analysis system of the same lying posture, the latter used as the gold standard. Markers on the trunk and the leg were captured by both systems, and results from distance and angle measurements were compared.
RESULTS
All intra-class correlation coefficient values were above 0.98, the highest systematic error was 4.3 mm for length measurements and 0.2° for angle measurements.
SIGNIFICANCE
A 3-D model of a person, with markers on anatomical landmarks, created with an iPad with a 3-D camera, is a valid and reliable method of quantifying static posture.
CONCLUSION
An iPad with a 3-D camera is a relatively inexpensive, valid and reliable method to quantify static posture in a clinical environment.

Identifiants

pubmed: 30580201
pii: S0966-6362(18)31575-3
doi: 10.1016/j.gaitpost.2018.12.018
pii:
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

357-362

Informations de copyright

Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

A Agustsson (A)

School of Health Sciences, Research Centre of Movement Science, University of Iceland, Reykjavík, Iceland. Electronic address: atli@hi.is.

M K Gislason (MK)

School of Science and Engineering, Biomedical Engineering, Reykjavik University, Reykjavík, Iceland. Electronic address: magnuskg@ru.is.

P Ingvarsson (P)

Department of Rehabilitation Medicine, Landspitali - The National University Hospital of Iceland, Reykjavík, Iceland; Medical Faculty, The University of Iceland, Reykjavík, Iceland. Electronic address: palling@landspitali.is.

E Rodby-Bousquet (E)

Centre for Clinical Research, Uppsala University, Region Västmanland, Västerås, Sweden; Department of Clinical Sciences Lund, Division of Orthopaedics, Lund University, Lund, Sweden. Electronic address: elisabet.rodby_bousquet@med.lu.se.

Th Sveinsson (T)

School of Health Sciences, Research Centre of Movement Science, University of Iceland, Reykjavík, Iceland. Electronic address: thorasve@hi.is.

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