Interpretation of postural control may change due to data processing techniques

Gait & Posture
Christopher K RheaF J Haran

Abstract

Postural control is commonly assessed by quantifying center of pressure (CoP) variability during quiet stance. CoP data is traditionally filtered prior to analysis. However, some researchers suggest filtering may lead to undesirable consequences. Further, sampling frequency may also affect CoP analysis, as filtering CoP signals of different sampling frequencies may influence variability metrics. This study examined the influence of sampling frequency and filtering on metrics that index the magnitude and structure of variability in CoP displacement and velocity. Healthy adults (N=8, 27.4±2.6 years) balanced on their right foot for 60s on a force plate. CoP data recorded at 100Hz was then downsampled and/or filtered (2nd order dual-pass 10Hz low-pass Butterworth) to create six different CoP time series for each participant: (1) original, (2) filtered, (3) downsampled to 50Hz, (4) downsampled to 25Hz, (5) downsampled to 50Hz and filtered, and (6) down-sampled to 25Hz and filtered. Data were then analyzed using four common variability metrics (standard deviation [SD], root mean square [RMS], detrended fluctuation analysis α [DFA α], and sample entropy [SampEn]). Data processing techniques did not influence the magnitude of variabil...Continue Reading

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Citations

Dec 8, 2015·BioMed Research International·Thierry Paillard, Frédéric Noé
Oct 25, 2016·International Journal of Cardiology·Raquel Romes Linhares
Dec 7, 2018·PM & R : the Journal of Injury, Function, and Rehabilitation·Anat V LubetzkyKen Perlin
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Jan 22, 2020·Journal of Biomechanics·Zachary S MeadeKota Z Takahashi
Mar 23, 2021·Journal of Motor Behavior·Philipp Hofmann, Petra Jansen
Mar 23, 2021·Gait & Posture·Adam W KieferMichael A Riley
Nov 2, 2018·Journal of Biomechanics·Paula Hentschel Lobo da CostaMarcus Fraga Vieira

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