Multi-domain data capture and cloud buffered multimodal evaluation platform for clinical assessment of Cerebellar Ataxia

Abeysekara, Lahiru Laminda, Tran, Ha, Pathirana, Pubudu N, Horne, Malcolm, Power, Laura and Szmulewicz, David 2020, Multi-domain data capture and cloud buffered multimodal evaluation platform for clinical assessment of Cerebellar Ataxia, in EMBS 2020 : Enabling innovative technologies for global healthcare : Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 5640-5643, doi: 10.1109/EMBC44109.2020.9176341.

Attached Files
Name Description MIMEType Size Downloads

Title Multi-domain data capture and cloud buffered multimodal evaluation platform for clinical assessment of Cerebellar Ataxia
Author(s) Abeysekara, Lahiru Laminda
Tran, Ha
Pathirana, Pubudu NORCID iD for Pathirana, Pubudu N orcid.org/0000-0001-8014-7798
Horne, Malcolm
Power, Laura
Szmulewicz, David
Conference name IEEE Engineering in Medicine and Biology Society. Conference (42nd : 2020 : Online from Montreal, Canada)
Conference location Online from Montreal, Canada
Conference dates 2020/07/20 - 2020/07/24
Title of proceedings EMBS 2020 : Enabling innovative technologies for global healthcare : Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Editor(s) Sawan, Mohamad
McGregor, Carolyn
Dhawan, Atam
Publication date 2020
Series IEEE Engineering in Medicine and Biology Society Conference
Start page 5640
End page 5643
Total pages 4
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Servers
Cloud computing
Sensors
Machine learning
Analytical models
Data models
Databases
Notes This conference was originally scheduled to be held in Montreal, Canada, however due to the 2020 COVID Pandemic, the event was held online.
ISBN 9781728119908
ISSN 1557-170X
Language eng
DOI 10.1109/EMBC44109.2020.9176341
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30143408

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 19 Abstract Views, 4 File Downloads  -  Detailed Statistics
Created: Mon, 05 Oct 2020, 12:50:35 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.