Show simple item record

AuthorGanem Abunahia D.
AuthorRaafat Abou Al Ola H.
AuthorAhmad Ismail T.
AuthorAmira A.
AuthorAit Si Ali A.
AuthorBensaali F.
Available date2020-04-07T11:46:17Z
Publication Date2018
Publication NameStudies in Computational Intelligence
ResourceScopus
ISSN1860949X
URIhttp://dx.doi.org/10.1007/978-3-319-69266-1_22
URIhttp://hdl.handle.net/10576/13882
AbstractThis 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 platforms 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.
SponsorThis paper was made possible by National Priorities Research Program (NPRP) grant No. 5-080-2-028 from the Qatar National Research Fund (a member of Qatar Foundation).
Languageen
PublisherSpringer Verlag
Subjecthealth solution
patient monitoring
TitleGeneralised and versatile connected health solution on the Zynq SoC
TypeConference Paper
Pagination454-474
Volume Number751
dc.accessType Abstract Only


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record