ECG Auto-analyzing System on Android for 3AHcare Node

Abstract

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.