EARLY DETECTION AND MONITORING SYSTEM OF HEART DISEASE BASED ON ELECTROCARDIOGRAM SIGNAL
Abstract: Heart disease is the
number one deadly disease in Indonesia. One of the main causes of fatality is
the late detection of the disease. To avoid escalation of mortality caused by
heart disease, we need early detection and monitoring system of heart disease. Therefore,
in this research we propose an early detection and monitoring system of heart
disease based on ECG signal. The proposed system has three main components: ECG
hardware, smartphone, and server. Since the proposed system is designed to
classify heartbeat signal, heart disease symptom can be detected as early as
possible. We use FLVQ-PSO algorithm to classify heartbeat signal. Experiment
result shows that classification accuracy of the system can reach 91.63%.
Moreover, the proposed system can be used to verify patients heartbeat by
cardiologists from distant area (telehealth). Experiment result shows that
responsiveness of the system for the telehealth system is less than 0.6
seconds.
Authbor: Muhammad Anwar
Ma'sum, Elly Matul Imah, Alexander Agung Gunawan
Journal Code: jptkomputergg140003
