Generalised and Versatile Connected Health Solution on the Zynq SoC

Abunahia, Dina Ganem, Abou Al Ola, Hala Raafat, Ismail, Tasnim Ahmad, Amira, Abbes, Ait Si ali, Amine and Bensaali, Faycal (2017) Generalised and Versatile Connected Health Solution on the Zynq SoC. In: Intelligent Systems and Applications. Studies in Computational Intelligence (751). Springer, pp. 454-474. ISBN 9783319692654

[img] Text (Full text)
71822_1_En_22_Chapter_Author print.pdf - Accepted Version
Restricted to Repository staff only until 31 December 2018.

Download (594kB)
Official URL: https://doi.org/10.1007/978-3-319-69266-1_22

Abstract

This chapter presents a generalized and versatile connected health solution for patient monitoring. It consists of a mobile system that can be used at home, an ambulance and a hospital. The system uses the Shimmer sensor device to collect three axes (x, y and z) accelerometer data as well as electrocardiogram signals. The accelerometer data is used to implement a fall detection system using the k-Nearest Neighbors classifier. The classification algorithm is implemented on various platform including a PC and the Zynq system on chip platform where both programmable logic and processing system of the Zynq are explored. In addition, the electrocardiogram signals are used to extract vital information, the signals are also encrypted using the Advanced Encryption Standard and sent wirelessly using Wi-Fi for further processing. Implementation results have shown that the best overall accuracy reaches 90% for the fall detection while meeting real-time performances when implemented on the Zynq and while using only 48% of Look-up Tables and 22% of Flip-Flops available on chip.

Item Type: Book Section
Subjects: G400 Computer Science
G700 Artificial Intelligence
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Amine Ait Si Ali
Date Deposited: 05 Jan 2018 13:20
Last Modified: 05 Jan 2018 14:22
URI: http://nrl.northumbria.ac.uk/id/eprint/33009

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence