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Generic processing of real-time physiological data in the cloud

journal contribution
posted on 2016-01-01, 00:00 authored by Kevin LeeKevin Lee, Kiel Gilleade
There is an emerging market in the collection of physiological data for analysis and presentation to end-users via web technologies for applications including health and fitness, telemedicine and self-tracking. As technology has improved, real-time streaming of physiological data, providing end-to-end user feedback has become feasible, allowing for innovative applications to be developed. Currently, there is no standardised method of collecting physiological data over the web for analysis and feedback to an end-user in real-time; existing platforms only support specific devices and application domains. This paper proposes a generic methodology and architecture for the collection, analysis and presentation of physiological data. It defines a standard method of encapsulating data from heterogeneous sensors, performing transformations on it and analysing it. The approach is evaluated through an implementation of the architecture using cloud computing technologies and an appropriate case study.

History

Journal

International journal of big data intelligence

Volume

3

Pagination

215-227

Location

Olney, Eng.

ISSN

2053-1389

eISSN

2053-1397

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2016, Inderscience Enterprises Ltd.

Issue

4

Publisher

Inderscience Publishers