Physica2022,Vol.59610.DOI:10.1016/j.physa.2022.127160

Characterizing postural sway signals by the analysis of zero-crossing patterns

Picoli, Sergio Bombo, Giorgio Santos, Edenize S. D. Depra, Pedro P. Mendes, Renio S.
Physica2022,Vol.59610.DOI:10.1016/j.physa.2022.127160

Characterizing postural sway signals by the analysis of zero-crossing patterns

Picoli, Sergio 1Bombo, Giorgio 1Santos, Edenize S. D. 2Depra, Pedro P. 1Mendes, Renio S.1
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作者信息

  • 1. Univ Estadual Maringa
  • 2. Univ Tecnol Fed Parana
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Abstract

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.

Key words

Human balance/Zero-crossings/Interevent times/Burstiness/Memory/Local variation/FRACTIONAL BROWNIAN-MOTION/HUMAN BALANCE/OPEN-LOOP/TIME/DYNAMICS/RELIABILITY/EQUILIBRIUM/PERFORMANCE/STEADINESS/BURSTINESS

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出版年

2022
Physica

Physica

ISSN:0378-4371
参考文献量62
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