Skip to main content

Design and Implementation a Real Time Healthcare System Based on WSN

A recently published paper by Dr Ali Al-Sherbaz 

Design and Implementation a Real Time Healthcare System Based on WSN 
Murtadha G. Kadhim, Samir J. Mohammed, and Ali Al-Sherbaz

Journal Of Telecommunications

Volume 27, Issue 1, September 2014

Abstract— The development of monitoring systems of healthcare on the basis of WSN has seen a significant increase on a large scale in previous years. These systems are more prevalent because of the importance of human life and the provision of appropriate technologies to be applied. Therefore it must be appropriate to the requirements of healthcare. In this paper, a real- time healthcare monitoring system based on WSN is designed. The system senses and displays ECG, SPO2, Heart Rate (HR), Breathing, respiratory rate, Blood pressure and temperature of a patient. A new algorithm is developed in this paper to measure a respiratory rate from breathing (Airflow sensor). The system features a friendly GUI in base station which is easy to use, and very simple to administer by a specialist doctor. The network technology, which is used in the system is a star topology with wireless ZigBee protocol. In base station, LabVIEW software and Visual studio 2012 are used to do tasks such as a processing, monitoring, graphical user interface, reporting, and alarming. The aim of this paper is to design a real time healthcare monitoring and alarming system using WSN for sensing breathing, ECG, temperature, SPO2, and blood pressure through Zigbee protocol

If you'd like to find out more about Computing at the University of Northampton go to: All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with

Popular posts from this blog

Experiments in teaching Neural Networks

Excel Based

More details available at including links to the code.

All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with. Twitter: @scottturneruon

Social Analysis of Publications

The Computing staff's network of co-authors, at the University of Northampton, based on the University's  research repository NECTAR - on 12th November 2016. The data goes back to 2010.

The data was analysed using the software VOSviewer - free software for visualising networks. Differences in colours represents, the clusters of publications with those authors picked out by the software. The relative size of the circles is the relative number of publications listed; so for the two biggest circles/hubs it relates to 55 and 34 publications in this time period. Some relatively new authors, to the University but not to research, explains some of the 'islands' and the number of publications within it - it only reflects publications whilst at the University of Northampton.

To dig a little deeper, going to  look at the two biggest 'hubs' through their NECTAR records, so potentially going …

Computer lecturer’s research helps improve the next generation of technology

Taken from: A computing lecturer at the University of Northampton, who is researching into how the efficiency of our everyday devices, such as mobile phones, can be improved, has been awarded the best paper at two recent conferences. Dr Michael Opoku Agyeman has written several journal papers focusing on how the next generation of technology can meet the ever increasing demands from consumers. He was invited to present his work at the 19th Euromicro Conference on Digital System Design in Cyprus and the Institute of Electrical and Electronics Engineers’ 14th International Conference in Paris. Part of his research concentrates on whether several processing elements can be incorporated on a single chip, known as System-On-Chip, to improve the efficiency and speed of the computing systems that we use every day, from mobile phones to video-game consoles and even medical equipment…