1 ECG Monitoring System Using Wireless Sensor Network (WSN) for Home Care Environment Prof. Dr. Norsheila Fisal, Department of Telecommunication and Optics, Faculty of Electrical Engineering, University Teknologi Malaysia (email: sheila@fke.utm.my) Rozeha Abd Rashid, Department of Telecommunication and Optics, Faculty of Electrical Engineering, University Teknologi Malaysia (email: rozeha@fke.utm.my) Mohd Adib Sarijari, Department of Telecommunication and Optics, Faculty of Electrical Engineering, University Teknologi Malaysia (email: adib_sairi@yahoo.com) Haslinah Mohd Nasir, Department of Telecommunication and Optics, Faculty of Electrical Engineering, University Teknologi Malaysia (email: haslinah_mn@yahoo.com) ABSTRACT The recent year has witnessed a significant surge of interest in sensing and monitoring in healthcare. The monitoring and acquisition of patients’ physiological information are quite crucial for the further treatment. Many patients can benefit from continuous monitoring as a part of a diagnostic procedure, optimal maintenance of a chronic condition or during supervised recovery from an acute event or surgical procedure. Wireless Sensor Network is becoming a promising technology for various applications. One of its potential deployments is in the form of wireless biomedical sensor network (WBSN) for wirelessly monitoring patients’ physiological signals (EEG, ECG, GSR, blood pressure, blood flow, glucose level, etc.) measured by wearable or implantable biosensors. WBSN, unlike wired monitoring systems, allows unobtrusive ubiquitous monitoring of patients’ physiological states and can generate early warnings if received signals deviate from predefined personalized ranges. In this paper, we propose a WBSN node platform featuring a low cost ECG sensor, sensor board to amplify, sample and filter the signal, a user-friendly graphical user interface (GUI) and also IEEE 802.15.4 based wireless sensor nodes which protocol offers multi-hop communication capability, hence providing an unlimited range of communication. As a case study, a 3-lead Electrocardiogram (ECG) sensor is developed and integrated with the WBSN node for preliminary evaluation. Keywords: Wireless Sensor Network, biosensor, IEEE 802.15.4 standard, multi-hop communication