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Remote monitoring system enabling cloud technology upon smart phones and inertial sensors for human kinematics
conference contribution
posted on 2014-12-05, 00:00 authored by M S Karunarathne, Samuel Jones, Samitha Ekanayake, Pubudu PathiranaPubudu PathiranaStroke is a common neurological condition which is becoming increasingly common as the population ages. This entails healthcare monitoring systems suitable for home use, with remote access for medical professionals and emergency responders. The mobile phone is becoming the easy access tool for self-evaluation of health, but it is hindered by inherent problems including computational power and storage capacity. This research proposes a novel cloud based architecture of a biomedical system for a wearable motion kinematic analysis system which mitigates the above mentioned deficiencies of mobile devices. The system contains three subsystems: 1. Bio Kin WMS for measuring the acceleration and rotation of movement 2. Bio Kin Mobi for Mobile phone based data gathering and visualization 3. Bio Kin Cloud for data intensive computations and storage. The system is implemented as a web system and an android based mobile application. The web system communicates with the mobile application using an encrypted data structure containing sensor data and identifiable headings. The raw data, according to identifiable headings, is stored in the Amazon Relational Database Service which is automatically backed up daily. The system was deployed and tested in Amazon Web Services.
History
Event
BDCloud 2014 : Big Data and Cloud ComputingPagination
137 - 142Publisher
Institute of Electrical and Electronics Engineers Inc.Location
Sydney, AustraliaPlace of publication
Piscataway, NJPublisher DOI
Start date
2014-12-03End date
2014-12-05ISBN-13
9781479967193Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2014, IEEEEditor/Contributor(s)
J Chen, L YangTitle of proceedings
Proceedings of the 2014 IEEE 4th International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014Usage metrics
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