Brian Lim

Describes the development of a Wireless Sensor Network personal health monitoring system called Medical MoteCare which uses a combination of medical and environmental sensors. SNMP and CodeBlue agents are incorporated in the system as is the network management software JaguarSX. Network management models and tools provide an alternative, scalable and affordable solution to WSN health monitoring applications that allow for data storage correlation and dissemination as well as timely alerts when… Show more

Describes the development of a Wireless Sensor Network personal health monitoring system called Medical MoteCare which uses a combination of medical and environmental sensors. SNMP and CodeBlue agents are incorporated in the system as is the network management software JaguarSX. Network management models and tools provide an alternative, scalable and affordable solution to WSN health monitoring applications that allow for data storage correlation and dissemination as well as timely alerts when parameters are breached. This work forms part of a large grant aimed at providing assistive healthcare for the elderly. Show less

Governments the world over are worried about the increasing costs of providing healthcare to elderly and infirm persons whose numbers are growing rapidly.

This paper describes ReMoteCare, a prototype we have developed for remote healthcare monitoring using a Wireless Sensor Network (WSN) Pulse Oximeters, environmental sensors and streaming video to monitor patients.

To illustrate the functionality of the prototype we describe three typical remote health monitoring scenarios set… Show more

Governments the world over are worried about the increasing costs of providing healthcare to elderly and infirm persons whose numbers are growing rapidly.

This paper describes ReMoteCare, a prototype we have developed for remote healthcare monitoring using a Wireless Sensor Network (WSN) Pulse Oximeters, environmental sensors and streaming video to monitor patients.

To illustrate the functionality of the prototype we describe three typical remote health monitoring scenarios set in an aged care facility.

Finally a series of experimental scenarios were developed and implemented in a laboratory setting to evaluate the reactivity of the monitoring system to a series of physiological conditions that cause the streaming video to alert the observer to potential problems. Show less

In this paper we analyze the security and privacy requirements of eHealth monitoring systems which use wireless sensor networks. Based on our experience developing our eHealth system, ReMoteCare, we have devised a model of such systems which we use to discuss threats and attacks, address security requirements and give guidelines for security mechanisms. The contentious issues of privacy of medical data are canvassed – especially as there are legal ramifications if personal health information is… Show more

In this paper we analyze the security and privacy requirements of eHealth monitoring systems which use wireless sensor networks. Based on our experience developing our eHealth system, ReMoteCare, we have devised a model of such systems which we use to discuss threats and attacks, address security requirements and give guidelines for security mechanisms. The contentious issues of privacy of medical data are canvassed – especially as there are legal ramifications if personal health information is compromised.
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Describes the implementation and validation of a prototype of an environmental and health monitoring system based on a Wireless Sensor Network (WSN).

The solution proposed for our system combines environmental and medical sensors in order to monitor both the surrounding area of the patient and the patient’s health status simultaneously. This feature would allow a comprehensive understanding of the patient’s condition by the specialist caring for the subject. Another key feature of the… Show more

Describes the implementation and validation of a prototype of an environmental and health monitoring system based on a Wireless Sensor Network (WSN).

The solution proposed for our system combines environmental and medical sensors in order to monitor both the surrounding area of the patient and the patient’s health status simultaneously. This feature would allow a comprehensive understanding of the patient’s condition by the specialist caring for the subject. Another key feature of the system is the development of an architecture which provides an easy, viable, cheap and effective way for connecting our environmental and medical sensor network of MicaZ motes to the outside world using Simple Network Management Protocol (SNMP) version 3.

A series of experimental scenarios were developed and implemented in a laboratory setting; firstly for evaluating the reactivity of the monitoring system to changes and secondly for understanding the reliability of the data obtained for benchmarking purposes.

The conclusion considers the implementation of future improvements to the health monitoring network by introducing new sensors and location tracking capabilities, and by integrating alarm triggering algorithms and advanced security techniques. Show less

Describes the implementation of a wireless sensor network of Micaz motes as a viable and effective solution for a health monitoring application that is connected to the Internet for global and remote monitoring.

An Architecture for this purpose has been developed. First, the network of wireless sensors gathers environmental and medical data and, using an enhanced Graphical User Interface (GUI) based on the CodeBlue software, then displays and stores data on the PC. The locally stored… Show more

Describes the implementation of a wireless sensor network of Micaz motes as a viable and effective solution for a health monitoring application that is connected to the Internet for global and remote monitoring.

An Architecture for this purpose has been developed. First, the network of wireless sensors gathers environmental and medical data and, using an enhanced Graphical User Interface (GUI) based on the CodeBlue software, then displays and stores data on the PC. The locally stored data are available for remote access via an SNMP-proxy connection. Finally a network management system installed on the remote server analyses the data collected.

This approach provides a straightforward solution for an effective remote health monitoring application. The system has been tested using a series of experimental scenarios that have been established in the laboratory to (1) determine the reliability of the data collected from the mobile sensor network, and (2) determine the parameters for future expansion of the health monitoring network by introducing new sensors, alarm triggering algorithms, advanced security techniques, and location tracking capabilities. Show less

Medical MoteCare is a health monitoring system prototype suitable for monitoring the elderly and the infirm. The system utilizes a wireless sensor network of MicaZ motes equipped with pulse oximeter sensors and environmental sensors, namely temperature and light. The system is based on the adaptation of Three-Tier and SNMP Proxy Network Management Organizational Model.

A key feature of the system is the use of two proprietary network management tools to monitor personal health… Show more

Medical MoteCare is a health monitoring system prototype suitable for monitoring the elderly and the infirm. The system utilizes a wireless sensor network of MicaZ motes equipped with pulse oximeter sensors and environmental sensors, namely temperature and light. The system is based on the adaptation of Three-Tier and SNMP Proxy Network Management Organizational Model.

A key feature of the system is the use of two proprietary network management tools to monitor personal health parameters and provide timely alerts when thresholds are reached. Show less