【摘要】 目的研究步态从一个侧面反映出的人体健康状况和病态特征,突破步态数据具有高维性、非线性、不便于定量分析的难题。方法将非线性动力学复杂性测度引入步态数据的分析。结果步态的复杂度与年龄等生理状况密切相关。结论通过数据长度对分析结果的影响,表明复杂度具有模型独立和计算简单等特点,它在步态分析中应用的前景较为乐观。更多还原

【Abstract】 Aim To study gait,which in a certain sense,is a reflection of the health conditions and pathology of several diseases in human body.However,quantitative analysis of gait data has traditionally been a challenging task due to its multidimensionality,non-linear.The elaboration is dedicated to make a breakthrough in this field.Methods The definition and algorithm of LemZiv complexity were introduced,so the gait data analysis was implemented by using LemZiv complexity.Results The complexity is closely associated with age and other physiological status.Conclusion The effects of gait series length on complexity value were discussed to draw the conclusion that the complexity is model-independent and its calculation is rather simple,its application in the gait analysis is indeed promising.更多还原