動脈硬化為現代人不可忽視的一大健康問題，由於飲食習慣的改變，此病症對國人健康的威脅也日漸嚴重。而隨著穿戴式裝置日新月異的發展，若能夠開發出一套系統即時監控穿戴者的血壓波資訊，對於動脈硬化的管控可說是一大福音。本研究使用腕部血壓計量測受試者之血壓波型後利用經驗模態分析與混沌理論來對非線性的血壓波進行拆解，拆解出兩個可以代表血液流動能量消長的波型，再對拆解出來的波型進行自動化找尋特徵點，其特徵點可以對應到血液由心臟流動到手腕的作動過程。而動脈硬化的部分，則是利用了此二波型與原始血壓波型的相對關係來進行平面圖的繪製，繪製出來的圖形再使用影像處理的方法進行分析，以得知受試者動脈硬化的程度與血液循環的健康與否。

The symptom of arteriosclerosis is a major health problem we can’t ignore. Due to the change of diet, this symptom has been causing more and more trouble to our people’s health. If we can combine a system that monitors the hemobarogram with the popular wearing devices, it can be a key solution to this problem. In this research, we collect the hemobarogram data by using a sphygmomanometer on the wrist. With the help of empirical mode decomposition and the chaos theory, we dismantle the non-linear hemobarogram, and find two wave forms that can represent the growth and decline of the blood pressure. Then we use automated intelligence to find the feature points of the wave forms, these feature points should correspond to the process of blood flows from the heart to the wrist. As for arteriosclerosis, we use the relative connection between the two wave forms and the original hemobarogram to draw a plan, the plan will go through image process and analyzation, the results will then tell us how bad the symptom is and is the blood circulation is fine or not.

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