利用智慧型手機開發心電圖訊號情緒管理系統

Using Smart Phone to Develop an Emotional-state Managing System

心電圖訊號不僅可作為心臟功能觀察的指標，也可應用於情緒狀態之分析。藉由心電圖訊號所產生的心跳變異率(Heart rate variability; HRV)，結合功率頻譜分析及潘凱圖(Poincare Plot)分析圖中的SD2及SD1/SD2數據，可以作為交感神經與副交感神經活性指標，有利掌握受測者的情緒狀態。本研究分為兩部 份，第一部份是開發PC版分析軟體，利用C#程式語言開發一套心電圖訊號應用糸統，包括RR間距設定、HRV分析、頻譜分析、潘凱圖分析及資料庫查詢；第二部份是結合智慧型手機，利用JAVA程式語言開發Android應用軟體，分析潘凱圖資料，並針對SD1/SD2值過高者，提供音樂及短片欣賞，達到緩和情緒之目的。所開發的程式可做為醫護人員、社工人員執行業務之工具或個人健康／情緒管理的好幫手。

The ECG data not only can be used to observe a cardiac function, but also can be used to analyze a person's emotional state. The heart rate variability (HRV) from the ECG Data combining the power spectral analysis of the SD2 and SD1/SD2 from the Poincare’ Plot can be used as an indicator to measure the activity of sympathetic nervous system and parasympathetic nervous system in order to comprehend the emotional state of the subject. This research is divided in two parts. The first part was to develop an analyzing program available for PC setting, using C# programming language to develop an ECG management system, which included the setting of R-R intervals, HRV analysis, frequency spectrum analysis, Poincare’ Plot analysis and a database. The second part integrated the program into a smart phone, which used JAVA programming language to develop an Android application of analyzing the Poincare’ Plot, and then accordingly to provide some appropriate music or movies to help their emotional instability for those who had higher SD1/SD2 value. The developed program can be used as a tool for health-care workers, social workers, and an assistant of a personal health/emotional state management.