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Principal component analysis detects sleepiness-related changes in balance control

FORSMAN P; HAEGGSTROM E; WALLIN AE; TOPPILA E; PYYKKO I
GAIT POSTURE , 2010, vol. 32, n° 3, p. 419-421
Doc n°: 149498
Localisation : Documentation IRR

D.O.I. : http://dx.doi.org/DOI:10.1016/j.gaitpost.2010.06.012
Descripteurs : DF1 - EQUILIBRATION

Computerized posturography exploits balance scores that quantify the size,
dynamics, or structure of the recorded sway. Since people employ different
balance strategies, one single balance score will not detect balance changes in
all subjects. Principal component analysis (PCA) can combine balance scores that
quantify different features into one new balance score. We tested the score with
20 subjects by measuring their balance every 2 h during 28 h of sustained waking.
The new balance score was more sensitive than its components (p<0.001 vs.
p>/=0.051) to the small sleepiness-related balance decrements that occurred
during the short 28-h period. PCA provided a more sensitive balance score that
applied to all of the subjects.
CI - Copyright (c) 2010 Elsevier B.V. All rights reserved.

Langue : ANGLAIS

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