Real time processing of data from patient biodevices

Authors:
Rhodora Abadia;Andrew Stranieri;Anthony Quinn;Sattar Seifollahi
Affiliations:
1William Light Institute, South Australia;University of Ballarat, Ballarat, Victoria;University of Ballarat, Ballarat, Victoria;University of Ballarat, Ballarat, Victoria
Venue:
HIKM '11 Proceedings of the Fourth Australasian Workshop on Health Informatics and Knowledge Management - Volume 120
Year:
2011

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Abstract

Patient biodevices worn by the infirmed detect vital signs and can help to improve health outcomes and the efficient provision of care. The streaming data generated by these devices can result in extremely large flows which cannot be analysed with existing data mining approaches. This paper surveys stream mining research and advances a new approach for the analysis of real time data generated by patient monitoring devices. The approach is computationally simple to scale up to process streams comprising huge volumes of data.