Generalised and Versatile Connected Health Solution on the Zynq SoC

Dina Ganem Abunahia, Hala Raafat Abou Al Ola, Tasnim Ahmad Ismail, Abbes Amira, Amine Ait Si Ali, Faycal Bensaali

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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.
Original languageEnglish
Title of host publicationIntelligent Systems and Applications
EditorsYaxin Bi, Supriya Kapoor, Rahul Bhatia
PublisherSpringer
Chapter22
Pages454-474
Number of pages21
ISBN (Print)9783319692654
DOIs
Publication statusPublished - 31 Dec 2017

Publication series

NameIntelligent Systems and Applications
Volume751
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

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