本文之研究目的在於提供一組經即時性演算法算出之對於心律變異度分析的”客觀”量化參數來給予從醫人員在診斷心律不整疾病時作為參考，進而降低誤診的機率，以目前最為大眾化之Android系統智慧型手機為平台並且搭配類比ECG訊號擷取電路、高低通濾波器、微控制器(Cortex-m3)、藍芽通訊協定來擷取ECG心電訊號，便可在智慧型手機上進行長時間ECG監督，並在手機內部建構一套即時性ECG 之R波偵測演算法搭配即時性量化之數據: SDNN、SDSD、NN50、pNN50來檢測心律變異度(HRV)；並取用MITBIH之資料庫資料，驗證其演算法正確性；藉由演算法之及即時性，提供於從醫人員在診斷ECG上之有效數據。

The purpose of this paper is to provide a group of real-time algorithms calculate quantitative parameters for heart rate variability analysis of "objective" to give as a reference for doctors in the diagnosis of arrhythmia disease, thereby we can reduce the chances of misdiagnosis. The most popular “Android smartphone” is the platform with the analog ECG signal acquisition circuit,which combines with high and low pass filter,microcontroller (the Cortex-m3) and the Bluetooth to capture ECG cardiac signal and long time ECG monitoring.We use a real-time ECG QRS-wave detection algorithm to detect QRS Complex in the phone and catch ECG data in real-time.We use SDNN, SDSD, NN50, pNN50 to detect and define heart rate variability (HRV).At last,we access MITBIH arrhythmia database information to verify the the correction of this algorithm; by using this system ,“objective” quantitative data can be given to help doctors in the diagnosis of arrhythmia disease.

[1] J Pan, Willis J. Tompkins, “A Real-Time QRS Detection Algorithm” , IEEE Transactions on Biomedical Engineering, VOL. BME-32, NO. 3,pp.230-236, MARCH 1985.
[2] C.T Lin, K.C Chang, C.L Lin,C.C Chiang, S.W Lu,S.S Chang, “An Intelligent Telecardiology System Using a Wearable and Wireless ECG to Detect Atrial Fibrillation”, IEEE Transactions on Imformation Techmology in Biomedicone, VOL. 14, NO. 3, pp726-733,MAY 2010.
[3] Lihuang She1, Jinshuan Zhao1, Shi Zhang1, Guohua Wang1, Gang Wang1, “A Novel Portable One Lead ECG Monitor with Low-Cost and Long-Time Recording Based on NUC501”, Chinese Control and Decision Conference, 2010.
[4] Jianwei Dong, Shi ZHANG, Xiaonan JIA, “A portable Intelligent ECG Monitor Based on wireless Internet and Embedded System Technology”, International Conference on Biomedical Engineering and Imformation 2008.
[5] H.Y Zhou. K.M Hou, “Embedded Real-Time QRS Detection Algorithm for Pervasive Cardiac Care System”, ICSP2008 Proceedings.
[6] Enrique Mario Spinelli, Ramon Pallàs-Areny, Miguel Angel Mayosky, “AC-Coupled Front-End for Biopotential Measurements” , IEEE Transactions on Biomedical Engineering, VOL. 50, NO. 3, pp391-395, MARCH 2003.
[7] X.M Cui, “A New Real-time ECG R-wave Detection Algorithm”, The 6th International Forum on Strategic Technology,2011.
[8] Gu-Young Jeong, Kee-Ho Yu, “Design of Ambulatory ECG Monitoring System to detect ST pattern change”, SICE-ICASE International Joint Conference, Bexco, Busan, Korea,Oct. 18-21, 2006.
[9] Do-Un Jeong, Se-Jin Kim, “Development of a Technique for Cancelling Motion Artifact in Ambulatory ECG Monitoring System”, International Conference on Convergence and Hybrid Information Technology,2008.
[10] J.P Niskanen, Mika P. Tarvainen, Perttu O. Ranta-aho, and Pasi A. Karjalainen, “Software for advanced HRV analysis” , University of Kuopio Department of Applied Physics Report Series ISSN 0788-4672.
[11] 湯雅雯,戴政祺,「腦波測量系統研製與腦波信號之非線性分析」,國立成功大學電機工程系碩士論文,2005.
[12] 蘇仁昌,羅錦興,「輕便型無線心電圖的研製」,國立成功大學電機工程系碩士論文,2002.
[13] 陳昭憲,徐國鎧,「適用於腦波人機介面之腦波量測系統」,國立中央大學電機工程系碩士論文,2008.
[14] 林羣晨,沈祖望,「以心電圖為基礎之心血管疾病專家防治系統」,慈濟大學醫療資訊研究所碩士論文,2007.
[15] 葉雲奇,蔣東健,「以模糊邏輯為基礎的心電圖心跳種類判斷」, 第18屆模糊理論及其應用研討會,2010.
[16] 楊正榮,「以小波轉換為基礎的QRS偵測方法」,國立中山大學機械與機電工程研究所碩士論文,2004.
[17] C.W. Li, C.X. Zheng, and C.F. Tai, “Detection of ECG characteristic points using wavelet transform” , IEEE Trans. Biomed. Eng , 42 (1995) 21-28.
[18] Tat Chee Avenue, Kowloon, “Development of QRS Detection Method for REAL-TIME Ambulatory Cardiac Monitor”, 19th International Conference - IEEE/EMBS Chicago, IL. USA, Oct. 30 - Nov. 2, 1997.
[19] Dale Davis,黃天守(譯),心律不整判讀,大眾圖書,1991.
[20] 林城,Android 2.x應用程式開發實戰,碁峯圖書,2010.
[21] 孫宏明,Android 2.x 手機程式設計入門、應用到精通,碁峯圖書,2010.
[22] B. Winter and J. Webster,“Driven-right-leg circuit design”, IEEE Trans.Biomed. Eng., vol. BME-30, pp. 62–66, Jan. 1983
[23] Yukinori Suzuk, “Self-organizing QRS-Wave Recognition in ECG Using Neural Networks” , IEEE Transaction on Neural Networks, VOL. 6, NO. 6, pp1469-1477, NOVEMBER 1995.
[24] S.K.Mukhopadhyay, M.Mitra, S.Mitra, “Time Plane ECG Feature Extraction Using Hilbert Transform, Variable Threshold and Slope Reversal Approach” , IEEE Confference Puplications, 2011.
[25] Analog Device: AD620 datasheet,取自: http://www.datasheetcatalog.org/datasheet/analogdevices/105505445AD620_e.pdf