Skip to main content

Wireless Remote Patient Monitoring System: Effects of Interference.

Wade, R., Yearp, A., Newell, D., Davies, P. and Sahandi, R., 2016. Wireless Remote Patient Monitoring System: Effects of Interference. In: 2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 6-8 July 2016, Fukuoka, Japan, 367-370.

Full text available as:

[img]
Preview
PDF (© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses.)
Wireless Remote Patient Monitoring System - Effects of Interference.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

233kB

DOI: 10.1109/IMIS.2016.105

Abstract

Wireless remote patient monitoring has the scope to improve patient experience while enabling data transmission to support effective patient care. Dash7 and ZigBee are potential wireless technologies which can facilitate this. Dash7 or ZigBee, when integrated with a mobile phone accompanied by the patient, can overcome the problem of range limitation imposed by traditional wireless patient monitoring solutions. A wireless remote monitoring system using integrated Dash7 or ZigBee and mobile phone technologies is proposed. Reliability is a key requirement in patient monitoring systems. Signal interference can affect the reliability of wireless systems. This paper investigates signal interference on Dash7 and ZigBee in a multi-technology environment. We further consider some of the the ethical implications of using Context Aware systems and their impact upon privacy and show that such tracking systems are ethically feasible but may require additional patient consent.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:data privacy;mobile computing;patient monitoring;security of data;Dash7;ZigBee;context aware system;interference effect;mobile phone;multitechnology environment;system privacy;wireless remote patient monitoring system;wireless technology
Group:Faculty of Science & Technology
ID Code:27440
Deposited By: Symplectic RT2
Deposited On:14 Mar 2017 13:01
Last Modified:14 Mar 2022 14:03

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -