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.
