Real-Time Detection of Premature Ventricular Contraction Using Discrete Wavelet Transform

Heart rhythm disorder is a heart disease that requires immediate treatment. One of the most common heart rhythm disorders is Premature Ventricular Contraction (PVC). PVC is an abnormal extra pulse. This beat is called premature because it occurs prematurely from the ventricles of the heart. PVCs often cause no symptoms, but palpitations or a missing heartbeat are the most common. The ancillary test used to diagnose PVC is electrocardiogram. Patients suffering from PVC are usually late for ECG monitoring at the hospital, so a portable system with embedded algorithms is needed for cardiac diagnosis. This paper proposes an approach to detect the risk of early sudden cardiac death in patients with PVCs. This study took the signal data with ECG Click module in real-time, then processed using Discrete Wavelet Transform (DWT) to obtain the PVC morphology. The data was sent via USB UART click and displayed on the TFT LCD screen of the microcontroller. The results of this study, a system can detect PVC signals automatically. This study also conducted testing using Physionet data. The PVC signal in the AHADB 0201 database was detected in sequence of 791, while in the AHADB 0201 database was detected in sequence of 6725. This result can help clinicians detect early symptoms of sudden cardiac death at the clinical level.