Multiscale Entropy Analysis of Center-of-Pressure Dynamics in Human Postural Control: Methodological Considerations

被引:77
作者
Gow, Brian J. [1 ]
Peng, Chung-Kang [2 ]
Wayne, Peter M. [1 ]
Ahn, Andrew C. [3 ,4 ]
机构
[1] Harvard Univ, Brigham & Womens Hosp, Osher Ctr Integrat Med, Sch Med, Boston, MA 02215 USA
[2] Harvard Univ, Div Interdisciplinary Med & Biotechnol, Beth Israel Deaconess Med Ctr, Sch Med, Boston, MA 02215 USA
[3] Harvard Univ, Div Gen Med & Primary Care, Beth Israel Deaconess Med Ctr, Sch Med, Boston, MA 02115 USA
[4] Massachusetts Gen Hosp, Martinos Ctr Biomed Imaging, Charlestown, MA 02129 USA
基金
美国国家卫生研究院;
关键词
multiscale entropy; sample entropy; methodological; center of pressure; systematic review; TIME-SERIES ANALYSIS; SAMPLE ENTROPY; APPROXIMATE ENTROPY; OLDER-ADULTS; COMPLEXITY; STIMULATION; DEGRADATION; SIGNALS; IMPACT; NOISE;
D O I
10.3390/e17127849
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Multiscale entropy (MSE) is a widely used metric for characterizing the nonlinear dynamics of physiological processes. Significant variability, however, exists in the methodological approaches to MSE which may ultimately impact results and their interpretations. Using publications focused on balance-related center of pressure (COP) dynamics, we highlight sources of methodological heterogeneity that can impact study findings. Seventeen studies were systematically identified that employed MSE for characterizing COP displacement dynamics. We identified five key methodological procedures that varied significantly between studies: (1) data length; (2) frequencies of the COP dynamics analyzed; (3) sampling rate; (4) point matching tolerance and sequence length; and (5) filtering of displacement changes from drifts, fidgets, and shifts. We discuss strengths and limitations of the various approaches employed and supply flowcharts to assist in the decision making process regarding each of these procedures. Our guidelines are intended to more broadly inform the design and analysis of future studies employing MSE for continuous time series, such as COP.
引用
收藏
页码:7926 / 7947
页数:22
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