A Reliable Transmission Protocol for ZigBee-Based Wireless Patient Monitoring

Abstract

Patient monitoring systems are gaining their importance as the fast-growing global elderly population increases demands for caretaking. These systems use wireless technologies to transmit vital signs for medical evaluation. In a multihop ZigBee network, the existing systems usually use broadcast or multicast schemes to increase the reliability of signals transmission; however, both the schemes lead to significantly higher network traffic and end-to-end transmission delay. In this paper, we present a reliable transmission protocol based on anycast routing for wireless patient monitoring. Our scheme automatically selects the closest data receiver in an anycast group as a destination to reduce the transmission latency as well as the control overhead. The new protocol also shortens the latency of path recovery by initiating route recovery from the intermediate routers of the original path. On the basis of a reliable transmission scheme, we implement a ZigBee device for fall monitoring, which integrates fall detection, indoor positioning, and ECG monitoring. When the triaxial accelerometer of the device detects a fall, the current position of the patient is transmitted to an emergency center through a ZigBee network. In order to clarify the situation of the fallen patient, 4-s ECG signals are also transmitted. Our transmission scheme ensures the successful transmission of these critical messages. The experimental results show that our scheme is fast and reliable. We also demonstrate that our devices can seamlessly integrate with the next generation technology of wireless wide area network, worldwide interoperability for microwave access, to achieve real-time patient monitoring.

Wireless Biomedical Parameter Monitoring System Using Arm Microcontroller: A Review

“…This finds vast application in the remote places where the people are out of reach from the experienced doctors; keeping this factor in mind best effort is done to implement some of the basic test of pathological data on the system[3] [5].Karandeep Malhi et al [1] develop Zigbee smart noninvasive wearable physiological parameters monitoring device has been developed and reported in this paper. The system can be used to monitor physiological parameters, such as temperature and heart rate, of a human subject.…”

“…So to overcome these limitations of systems I have proposed a new system. This system is able to transmit the parameters of patient continuously and over long distance wirelessly [5]. Due to which we would be able attend the patient immediately.…”

“…But there are different from traditional wireless networks as well as computer networks, today the progress in science and technology offers miniature, speed, intelligence, sophistication, and new materials at lower cost, resulting in the development of various high-performance smart sensing system. Many new research is focused at improving quality of human life in terms of health by designing and fabricating sensors which are either in direct contact with the human body (invasive) or indirectly (noninvasive) [5],. In the current proposed system the patient health is continuously monitored by the patient monitoring system and the acquired data is transmitted to a centralized ARM server using Wireless Sensor Networks.…”

Design Guidelines for Wireless Sensor Network Architectures in mHealth Mobile Patient Monitoring Scenarios

“…For example, home patient monitoring may help to increase the healthcare systems capacity by reducing the hospitals bed occupancy rate, (Goldberg & Wickramasinghe, 2003). As well, it can be used as an effective tool for the assessment of the health condition and wellbeing of elderly people (Chen et al, 2012) (Teng et al, 2008). Because of its potential impact in the provision of healthcare services by means of new paradigms, remote patient monitoring has attracted considerable attention from the industrial and academic communities.…”

A ZigBee-Based Location-Aware Fall Detection System for Improving Elderly Telecare

“…In the telecare smart home, the nodes are classified into four types: wearable sensor, RF generator, reference node, and gateway. In the event of a fall, the wearable sensor detects the event and transmits the fall alarm to the gateway to trigger the indoor positioning subsystem based on the reliable transmission protocol [15]. The server in the smart home calculates the location of the faller by the RSSI values broadcasted from the RF generator to all reference nodes and to the wearable sensor.…”