Real Time Processing of Data from Patient Biodevices

Abadia, R., Stranieri, A., Quinn, A., and Seifollahi, S.

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.

Cite as: Abadia, R., Stranieri, A., Quinn, A., and Seifollahi, S. (2011). Real Time Processing of Data from Patient Biodevices. In Proc. Australasian Workshop on Health Informatics and Knowledge Management (HIKM 2011) Perth, Australia. CRPIT, 120. Kerryn Butler-Henderson and Tony Sahama Eds., ACS. 25-30

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