人體重心訊號量測儀器建立暨多尺度熵理論應用人體重心訊號分析

Establishing a force platform for measuring center of pressure (COP) signal and applied a multi-scale entropy algorithm to analyze this COP signal

蘇培德(Pei-Der Sue)

指導教授 ： 謝建興

元智大學/工程學院/機械工程學系/碩士(2011年)

https://doi.org/10.6838/YZU.2011.00295

摘要

跌倒，一直以來總是會讓人避之唯恐不及，尤其發生在老年人身上會造成更大的傷害，近年來在台灣的人口比率結構中，老年人口的比例越來越高，也顯示台灣也逐漸邁入了高齡化的社會。在高齡化社會中，跌倒所造成的傷害在老年人照護醫療比率中逐步增加。參考相關文獻，人體重心偏移(COP)是一個評估人體平衡機制動態特性的重要生理訊號，可以用來評估老年人的跌倒風險。

本研究的目的即要建立平衡訊號量測系統，藉以收集人體重心偏移的資料。首先說明系統開發過程中所用到的設計概念、測量元件的功能、數位訊號處理技術及訊號分析方法。為了驗證量測系統的再現性，我們設計了一系列的校正實驗，其中包含靜態測試、動態測試。藉由這些測試來探討系統的可行性。

為了探討此系統是否能量測出平衡力的變化，我們設計出四種能產生不同搖晃程度的平衡力測試實驗。使用傳統分析方法以及多尺度熵分析方法來分析儀器量測到的平衡訊號，並與商用的量測設備所獲得的結果進行比對。研究結果指出，我們建立的平衡訊號量測儀器與商用的量測設備有一致的結果，可以判斷出平衡力改變的部分。期望本研究發展出的量測儀器，能在老年人預防跌倒、老化與健康管理等方面有所幫助。

關鍵字

跌倒 ； 非侵入式生理 ； 訊號 ； 人體重心偏移量 ； 多尺度熵 ； 經驗模組分解法

並列摘要

“Falling” is an unpredictable accident and the caused damage is a great worry to be concerned. In particular, when it happened on the elderly, it could be more destructive. In recent years, the proportion of the elderly population is getting higher in Taiwan, which shows that Taiwan has stepped into the aging society. In this situation, the elderly medical care ratio increased gradually included the fall accident care. Referring the correlated studies, center of pressure (COP) is an important measurement used for quantifying the dynamic property of human’s balance. It can be used to assess the risk of falling among elderly people.
The aim of this study is to design a measuring device of COP for data collecting. Firstly, we presented details about design concepts, functions of measurement component, digital signal processing (DSP) techniques, and signal analysis algorithms used in our application. In order to verify the reproducibility of the measurement system, we also conducted a series of experiments, including static tests and dynamic tests. We want to confer the feasibility of the system by these tests.
In order to prove that our system can estimate the different sizes of the different sways, we designed four sway tests to produce different sway displacement. We use traditional and multi-scale entropy analysis methods to analyze the COP signal received by our system and compare with the commercial system. The results indicated that our system can receive the same results with the commercial system so it can determine the change of the balance ability. Hopefully our research may make contributions on fall prevention, elderly Care and health care issues.

並列關鍵字

Multi-scale Entropy ； empirical mode decomposition ； Falling ； noninvasive physiological signs ； center of pressure

參考文獻

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