A Mobile Phone-based Arrhythmia Recognition System Using Characteristic Matching Scheme

Computer-aided diagnostic systems based on electrocardiogram (ECG) analysis will support clinicians' tedious work or can be used to quickly detect critical events. At present, ECG signal analysis is receiving more and more attention in emerging fields such as clinical application on arrhythmia detection and heart rate variability analysis. This study will explore the application of ECG signal pattern recognition based on the characteristic matching scheme approach. The method proposed in this study is implemented in the front-end (mobile APP) as part of the auxiliary diagnostic service. The frequency of anomaly and it's time point and duration recorded in the APP will help the doctors to identify the reason and conditions of the patients.