首页|Characterizing postural sway signals by the analysis of zero-crossing patterns
Characterizing postural sway signals by the analysis of zero-crossing patterns
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NSTL
Elsevier
Center of pressure (COP) signals have been widely used to investigate various aspects of human balance during quiet standing. Here, we compute a set of measures - including burstiness, memory and local variation - to quantify temporal patterns in COP zero-crossings. Specifically, we investigate the effect of stance type (bipedal and unipedal) on the proposed measures. Data were obtained from a group of 20 health and young subjects. The results suggest that these measures are able to detect differences in zero-crossing patterns between bipedal and unipedal stance. We also perform a test-retest reliability analysis for each measure and a pairwise correlation analysis for combinations of measures. Finally, we discuss some potential implications of our results for the study of human balance. (c) 2022 Elsevier B.V. All rights reserved.
Human balanceZero-crossingsInterevent timesBurstinessMemoryLocal variationFRACTIONAL BROWNIAN-MOTIONHUMAN BALANCEOPEN-LOOPTIMEDYNAMICSRELIABILITYEQUILIBRIUMPERFORMANCESTEADINESSBURSTINESS
Picoli, Sergio、Bombo, Giorgio、Santos, Edenize S. D.、Depra, Pedro P.、Mendes, Renio S.
NSTL
Elsevier
