Wireless body area network system based on ECG and accelerometer pattern

Health monitoring and body area network (BAN) applications require wireless intelligent monitoring devices and information systems. The aim of our research is to propose a prototype of wearable wireless monitoring device optimized to supervising the patient and examine the influence of movement on the heart rate during normal daily activities. Main purpose of the proposed system consists in simultaneous acquisition and automatic analysis of two bipolar ECG and three-axes acceleration (ACC) signals measured by means of wireless, battery-operated prototype of Revitus ECG module. The processing of the ECG and ACC data is performed by the custom-developed software installed on PC. All recorded information is uploaded to a purposely-designed medical web server for the storage and display as a web page for authorized doctors or patient's family. The system was tested on 10 healthy volunteers. Each of them was monitored during common daily activities.