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A video based method to quantify posture of the head and trunk in sitting

SANCHEZ MB; LORAM I; DARBY J; HOLMES P; BUTLER PB
GAIT POSTURE , 2017, vol. 51, p. 181-187
Doc n°: 182655
Localisation : Documentation IRR

D.O.I. : http://dx.doi.org/DOI:10.1016/j.gaitpost.2016.10.012
Descripteurs : DF11 - POSTURE. STATION DEBOUT

Maintenance of a vertically aligned posture of the head and trunk in sitting is a
fundamental skill that demonstrates the presence of neuromotor control. Clinical
assessments of posture are generally subjective. Studies have quantified posture
using different technologies,
but the application of such technologies in a
clinical environment remains difficult. Video recordings, however, are easily
used clinically and have potential for quantitative analysis of movement. This
study used a video-based method to generate a numerical measure of postural
alignment of the head and trunk in sitting. Static and dynamic trials of 12
healthy seated adults were simultaneously recorded with a sagittal video camera
and a 3D motion capture system. Segmental angles were calculated for the Head,
Neck and six Trunk segments. An agreed definition of aligned static sitting
posture agreed was used by five clinically experienced experts to identify video
frames where the participants' posture was aligned. The five subsets of frames
that defined the aligned posture were combined to give aligned segments
(mean+/-SD) for each participant. Agreement between experts in the definition
(mean) of aligned segmental angles was excellent (ICC=0.99) and intra-assessor
reliability (SD) lay within 2.1 degrees -11.6 degrees . Agreement between the
video-based method and the 3D system was below 3.8 degrees and 8.4 degrees for
static and dynamic trials respectively. This video-based method allowed the
quantification of sitting posture and provided greater detail of the trunk/spinal
profile than previous methods. It has potential as a complementary tool, alongside subjective assessments, for patients with a wide variety of
pathologies.
CI - Copyright A(c) 2016 Elsevier B.V. All rights reserved.

Langue : ANGLAIS

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