System and Method for Arrhythmia Judgment Data Base and ECG Arrhythmia Judgment: firstly, pre-calculate the ECG signals from the MIT-BIH Arrhythmia data base secondly, catching four Chaos Eyes Eigenvalues through Master and servant chaotic system for each ECG signal thirdly, create each set of the Chaos Eyes Eigenvalues as a Normal heart rate model or Arrhythmia Model according to the MIT-BIH Arrhythmia data base and a Extension neural network type III method,therefore, the Arrhythmia diagnosis data base is made then, for each new sample, adopting the ECG signal catching flow, Chaos Eyes Eigenvalues catching flow and the Extension neural network type III method to get a test model compare the test model with the Arrhythmia diagnosis data base, the new sample can be defined as normal or Arrhythmia.一種心律不整診斷資料庫建立方法與心電圖心律不整判斷方法與心電圖心律不整判斷系統:首先,將MIT-BIH心律不整資料庫的若干個資料庫心電圖樣本進行心電訊號預處理;接著,運用主僕混沌系統之心電圖特徵值擷取流程來將每組心電訊號擷取四組混沌眼特徵值;接著,再運用可拓類神經網路第三型(ENN-3)方法將每組特徵值建立正常與心律不整物元模型至一心律不整診斷資料庫後完成心律不整診斷資料庫;接著,將每個待測樣本的進行心電圖擷取、混沌眼特徵值擷取、物元模型建立等流程後,以待測樣本的物元模型與心律不整診斷資料庫的物元模型進行比對,即可判斷出待測樣本為心律正常或心律不整。10‧‧‧心電訊號擷取電路20‧‧‧心律不整判斷系統21‧‧‧DAQ卡22‧‧‧LabVIEW23‧‧‧主僕混沌系統24‧‧‧動態誤差散步圖計算模組25‧‧‧混沌眼座標計算模組26‧‧‧可拓類神經網路模組第三型27‧‧‧心律不整診斷資料庫30‧‧‧人體
