Wireless Sensor Network for Continuous Monitoring a Patient's Physiological Conditions Using ZigBee

The research paper, presents a Wireless Sensor Network (WSN) for monitoring a patient’s physiological conditions continuously using Zigbee. In the experiment 3 groups of persons were made to undergo the test. Person A was in the age group of 1-10 years. Person B was in the age group of 11-30 years and person C was in the age group of 31-80 years. Physiological conditions of these 3 groups of persons were monitored using physiological sensor. The output of physiological sensor has to be transmitted via Zigbee and the same has to be sent to the remote wireless monitor for acquiring the observed patient’s physiological signal. The remote wireless monitor is constructed of Zigbee and Personal Computer (PC). The measured signal has to be sent to the PC, which can be data collection. When the measured signals over the standard value, the personal computer sends Global System for Mobile communication (GSM) short message to the care taker. Although Bluetooth is better than Zigbee for transmission rate, Zigbee has lower power consumption. Hence, Zigbee is generally used for 24 hours monitor of communication transmission system. The first procedure of the system is that Physiological sensor is used to measure Heart rate, respiration rate, pulse rate, temperature, oxygen level in the blood and blood pressure from human body using Zigbee. Next procedure of the system is to measure saline level in bottle using zigbee.The measured signal is to be sent to the PC via the RS-232 serial port communication interface. The signal is to be sent to remote PC or Personal Digital Assistant (PDA) from the internet. In particular, when measured signals over the standard value, the personal computer will send GSM short message to absent care taker’s mobile phone. The results obtained using WSN in terms of accuracy and credibility of measurement is poor. But, the result obtained from WSN using zigbee confirms that it effectively works for continues monitoring a patient’s physiological conditions. The conclusion and implications of this study reveals that a successful research project was developed and the abnormal conditions of the patients were identified. So the effectiveness of this WSN using zigbee is more compared with the effectiveness of WSN.