Design and implementation of a personal health monitoring system with an effective SVM-based PVC detection algorithm in cardiology

In this paper, we present a bio-health monitoring system prototype specialized in capturing the Premature Ventricular Contraction (PVC) event, one of the major cardiac disorder events. The proposed bio-health system comprises three parts: (1) the Electrocardiograph (ECG) sensing hardware, (2) the Android-based processing and communication device, and (3) the expert system on the cloud to detect PVC events. The expert system on the cloud is designed and implemented based on the support vector machine (SVM). The effective identification of PVC can help patients take care of the health quickly. The main purpose of recording information is to track the patient's health status, and allow the medical team to keep tracking the recovery status.