ECG (Electrocardiograph) is the primary method for cardiovascular disease detection. The main purpose of this research work is to develop an ECG auto-analyzing system on Android platform for 3AHcare Node. 3AHcare Node is a health monitoring device developed by IECAS, and ECG auto-analyzing system analyzes the ECG signal detected by 3AHcare Node in real time. The ECG auto-analyzing system consists of two parts: the detection part and the diagnose part. In the detection part, the noise is eliminated first,, and then the feature parameters, such as R peak, RR interval, QRS width and RR rhythm etc are extracted. The diagnose part is used to classify the ECG signal into three categories: the PVC (Premature Ventricular Contraction), NORMAL and UNKNOWN, at last, give primary diagnose suggestions for users. The ECG autoanalyzing system was first measured with data from MIT/BIH Arrhythmia Database, and then modified and tested by ECG data detected with our 3AHcare Node.
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