平衡能力在日常生活上是不可或缺的一項能力，對於老年人、中風患者平衡的訓練更為重要。本研究假設以團體運動搭配模組化機器人磚塊系統 (以下簡稱運動療程)可增加中風患者的姿態平衡能力，因此收集某醫院9位受試者的壓力中心點訊號，以多尺度熵的複雜度概念分析中風患者身體平衡穩定度，同時也運用多元多尺度熵分析的概念，再以整體平均的經驗模態分析法進行訊號的拆解與重組並以訊號能量的觀點進行分析與討論，比較在以運動療程前後，身體的平衡能力是否有顯著差異。研究結果發現以於運動療程後，中風患者的姿態平衡力增加，並且進一步發現療程後，本質分量IMF5與IMF6的組合(平均頻率屬於中低頻率帶)其訊號能量有顯著性的差異並可以用於觀察中風患者參與運動療程的改善程度。

Postural stability is an essential ability in our daily life. As a result, it’s more important of the training for elderly and stroke patients. The basic assumption of this study is that stroke subjects can effectively improve postural stability through the 12-week rehabilitation exercise with modular interactive tile system (MITS) (hereinafter referred to as exercise program). To verify the effects of the exercise program, center of pressure (COP) data were collected from 9 subjects (5 female; 4 male; mean ages, 56±2.8 years) who has had stroke history and were willing to participate this rehabilitation program. The “complexity index” (CI), based on multiscale entropy (MSE) and multivariate multiscale entropy (MMSE) algorithms were adopted in this study. The higher CI value represents the better postural stability. Moreover, the COP signal was decomposed into intrinsic mode function (IMF) by ensemble empirical mode decomposition (EEMD), and the concept of “Signal Energy” was adopted for selecting the combinations of IMFs. Our results showed that the exercise program has significant improvement on postural stability (the CI value of MMSE increased 15%) and indicate that the IMF5+6, which mean frequency belongs to low-medium frequencies (0.1-0.5Hz) has an effect on observing the difference of this exercise program for the subjects tested in this study.

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