北京生物醫(yī)學工程

帕金森病患者加速度信號的嵌入維和關聯(lián)維特征

Embedded Dimension and Correlation Dimension Characteristics of the Acceleration Signal from the Patients with Parkinson’s Disease

作者：符懋敬莊建軍寧新寶殷杰吳旭輝

單位：南京大學電子科學與工程系生物醫(yī)學電子工程研究所（南京210093）

關鍵詞：帕金森病；加速度信號；嵌入維；關聯(lián)維；G-P算法

分類號：

出版年·卷·期（頁碼）：2010·29·1（44-48）

摘要：

帕金森病作為一種運動調(diào)節(jié)功能障礙性疾病，會顯著地降低人體中樞神經(jīng)系統(tǒng)對肢體的控制能力。本文將G-P算法直接應用于人體行走時產(chǎn)生的加速度信號的混沌動力學研究。通過對帕金森病患者和健康人群加速度信號的動力學特征進行比較后發(fā)現(xiàn)，相對于健康人，帕金森病患者加速度信號的嵌入維和關聯(lián)維均顯著減小。結(jié)果表明，帕金森疾病會使患者運動神經(jīng)控制系統(tǒng)的混沌程度減弱,復雜性降低；而且可以通過對有限長一維加速度信號的重構(gòu)捕捉患者運動神經(jīng)控制系統(tǒng)動力學特征的改變。本研究的結(jié)論對于人體運動神經(jīng)控制系統(tǒng)的生理建模以及帕金森病的臨床診斷具有一定的理論和應用價值。

Parkinson’s disease （PD） can significantly reduce the ability of the central nervous system to control human body. In this paper, the GP algorithm was applied to investigate the chaotic dynamic characteristics of the acceleration signal from human walking. In comparison with healthy subjects, obvious decreases in the embedded dimension （m） and correlation dimension （D2） of acceleration signal from patients with PD were observed. Experimental results demonstrated that PD reduced the complexity and chaotic characteristic of the patients’ motor nerve system, the change of which could be reconstructed through onedimensional acceleration signals with finite length. The result provides a valuable method for both clinical diagnosis of PD and physiological modeling of human locomotion system.

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