忙碌的現代生活中，人們在生理、心理緊張的狀態之下容易造成壓力的產生。大多數人喜歡聆聽音樂來放鬆，但只有少數人清楚音樂對於自己身體的影響力。本研究設計了一套系統，藉由分析使用者的生理參數，評估使用者聆聽音樂時之放鬆程度，來協助使用者找到對自己身體健康有益的音樂，進而用適當的音樂來改善因壓力所引起的自律神經失衡狀態。
本研究採用心電圖(ECG)、心率(HR)、心率變異度(HRV)與潘凱圖(Poincare Plot)等多重生理參數分析方式，以評估使用者的放鬆程度，並且比較HRV頻域分析和潘凱圖分析當中生理參數的變化情形。我們請受測者攜帶自己喜愛並且認為可以幫助自己放鬆的音樂來參加實驗，最後採用模糊理論，以使用者的健康為目標，將受測者的生理參數和主觀喜好整合為一個個人化音樂評估分數，當作往後使用者音樂放鬆的參考指標。

In modern busy life, people tend to have more and more mental stress. Many people like to listen music for relaxation, but only a few of them know the effect of music on their body. In this research, we design a system to evaluate the relaxation condition of human during listening music.
In this study, we measure multiple physiological parameters (such as Electrocardiogram, Heart rate, Heart rate variability and Poincare’ plot) to evaluate the effect of music on human relaxation. In the experimental results, we adopt fuzzy theorem to integrate physiological parameters and personal preferences. The purpose of this study is helping user to choose appropriate music to improve the imbalance of autonomic nervous system which caused by mental stress.

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