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Updated: May 9, 2026
A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients
Published on: October 17, 2017
Real-time multidimensional temporal analysis of complex high volume physiological data streams in the neonatal
Carolyn McGregor1, Andrew James, Mike Eklund
1Faculty of Business and Information Technology, University of Ontario Institute of Technology, Oshawa, ON, Canada.
Abstract:
The intensive care of immature preterm infants is a challenging, dynamic clinical task that is complicated because these infants frequently develop a range of comorbidities as they grow and develop after their premature birth. Earliest reliable condition onset detection is a goal within this setting and high frequency physiological analysis is showing potential new pathophysiological indicators for earlier onset detection of several conditions. To realise this, a platform for multi-stream, multi-condition, multi-feature risk scoring is required. In this paper we demonstrate our multi-stream online analytics approach for condition onset detection and demonstrate a user interface approach for patient state that can be available in real-time to support condition risk scoring.
