Suppr超能文献

足中部运动学变异性结构的非线性分析。

Non-linear analysis of the structure of variability in midfoot kinematics.

机构信息

Orthopaedic Division, North Denmark Region, Aalborg Hospital-Aarhus University Hospital, Aalborg, Denmark.

出版信息

Gait Posture. 2010 Mar;31(3):385-90. doi: 10.1016/j.gaitpost.2010.01.008. Epub 2010 Feb 2.

Abstract

INTRODUCTION

Evaluation of structural variability in biological time series through measures such as sample entropy (SaEn) has provided important information in neurology and cardiology. This has contributed to the development of the "loss of complexity hypothesis" where high variability has been described as healthy flexibility and low variability associated with pathology. The purpose of this study was to calculate sample entropy (SaEn) to establish normal values of non-linear variability and to examine which factors are associated with SaEn in midfoot kinematics.

METHOD

Static foot posture was measured using Foot Posture Index. A video sequence analysis system was used to quantify midfoot kinematics during walking in the sagittal plane. SaEn was calculated for navicular drop during stand phase as an expression of the dynamic complexity.

RESULTS

A significant difference was observed between the three major foot types and between genders (p<0.001). Mean SaEn in women were 1.10+/-0.19 (supinated foot posture), 0.96+/-0.17 (neutral foot posture) and 0.77+/-0.16 (pronated foot posture) and 1.25+/-0.24 (supinated foot posture), 1.06+/-0.23 (neutral foot posture) and 0.86+/-0.19 (pronated foot posture) in males. The regression model showed that foot posture and dynamic navicular drop (dND) were both associated with SaEn.

CONCLUSION

This study confirmed that non-linear analysis is of relevance in the interpretation of kinematic data. Pronated foot posture, large navicular drop and women were characterized by low values of non-linear variability. Future studies should investigate if measurements of SaEn are capable of identifying subjects with an increased risk of injury.

摘要

简介

通过样本熵(SaEn)等方法评估生物时间序列的结构变异性,为神经病学和心脏病学提供了重要信息。这有助于发展“复杂性丧失假说”,其中高变异性被描述为健康的灵活性,而低变异性与病理学有关。本研究旨在计算样本熵(SaEn)以确定非线性变异性的正常值,并研究哪些因素与中足运动学中的 SaEn 相关。

方法

使用足弓指数测量静态足姿势。使用视频序列分析系统定量分析矢状面行走时中足运动学。站立阶段舟骨下降时计算 SaEn,作为动态复杂性的表达。

结果

三种主要足型之间以及性别之间存在显著差异(p<0.001)。女性的平均 SaEn 分别为 1.10+/-0.19(旋后足姿势)、0.96+/-0.17(中立足姿势)和 0.77+/-0.16(旋前足姿势),男性分别为 1.25+/-0.24(旋后足姿势)、1.06+/-0.23(中立足姿势)和 0.86+/-0.19(旋前足姿势)。回归模型表明,足姿势和动态舟骨下降(dND)均与 SaEn 相关。

结论

本研究证实,非线性分析对于运动学数据的解释具有重要意义。旋前足姿势、较大的舟骨下降和女性的非线性变异性较低。未来的研究应探讨 SaEn 的测量是否能够识别受伤风险增加的受试者。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验