An ECG arrhythmia classification and heart rate variability analysis system based on android platform

Abstract

With the rapid growth of the medical technologies and constant renewal of medical facilities, electrocardiography (ECG) provides an effective and easy to use means for arrhythmia classification and heart rate variability (HRV) analysis. Most of the existing ECG device have the disadvantage of either poor local signal processing ability or heavily rely on the signal processing ability of remote server. After thorough investigation, Android platform is adopted to develop an ECG signal processing application for real-time arrhythmia classification and HRV analysis. The ECG data acquired with a wearable ECG sensor are transmitted to the Android smart phone or tablet via BLE (Bluetooth low energy). Computing intensive signal processing tasks were implemented in C code with Android NDK (Native Development Kit) technology. The user account information and analysis results can also be transmitted to the remote server through the HTTP protocol if needed.