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基于LMCD的步態(tài)信號復(fù)雜度分析

Complexity analysis of gait signal based on LMCD

作者: 王沛存  趙俊昌  鄭正中  王俊 
單位:南京郵電大學(xué)圖像處理與圖像通信江蘇省重點實驗室(南京210003)
關(guān)鍵詞: Lopez-Mancini-Calbet  Divergence;步態(tài)信號;復(fù)雜度 
分類號:
出版年·卷·期(頁碼):2013·32·6(571-574)
摘要:

目的 步態(tài)信號的研究是現(xiàn)今生物醫(yī)學(xué)研究的重點。對不同步態(tài)信號的分析,有助于進行臨床診斷和醫(yī)學(xué)研究。方法 采用Lopez-Mancini-Calbet Divergence (LMCD)的復(fù)雜度分析方法,對老年人、年輕人和帕金森患者各10例的步態(tài)信號分別計算復(fù)雜度,并對實驗數(shù)據(jù)進行方差分析。結(jié)果 3種步態(tài)信號的復(fù)雜度差異顯著性,年輕人的步態(tài)信號復(fù)雜度最大,老年人次之,帕金森患者的復(fù)雜度最小。結(jié)論 基于LMCD的步態(tài)信號復(fù)雜度分析可以得出人的步態(tài)信號隨機性的強弱。

Objective The gait signal is now the focus of biomedical research and the analysis of gait signal is helpful to clinical diagnosis and medical research.Methods The Lopez-Mancini-Calbet Divergence (LMCD),the method of complexity analysis is used to calculate ten cases of the complexity of the elderly,young people and patients with Parkinson’s gait signal,and then we detect the experimental data by variance detection.Results The differences among the complexity of the three groups of gait signals are significant.The gait signal complexity of the young people group is higher than that of the elderly people group,and that of the Parkinson’s patient group is the lowest.Conclusions The complexity analysis of gait signal based on LMCD can get the strength of the randomness of human gait signal.

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