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University of Ontario Institute of Technology

Carolyn Patricia Mcgregor

Andrew Gibson James

Christina Anne Catley

The present disclosure relates to a method and system for identifying potential condition onset based upon a combination of Heart Rate Variability (HRV), Respiratory Rate Variability (RRV) and/or confounding factors. The present method and system may involve data collection, a temporal abstraction (TA)-based approach, and data analysis to identify potential condition onset in patients. The present method and system may generate and amend a classification scheme to be operable to determine that a patient is facing potential condition onset. The present method and system may further be operable to provide clinical decision making support. Embodiments of the present method and system may be operable to identify trends, such as temporal patterns, and to undertake a variety of analyses of collected and/or TA data to provide indicators, and determinations of potential condition onset in patients. As an example, the present method and system may be applied to identify potential condition onset of sepsis in infant patients.

Method and system for determining HRV and RRV and use to identify potential condition onset

The present invention provides a system, method and computer program for multi-dimensional temporal abstraction and data mining. The invention comprises collecting and optionally cleaning multi-dimensional data, the multi-dimensional data including a plurality of data streams; temporally abstracting the multi-dimensional data; and relatively aligning the temporally abstracted multi-dimensional data based on a shared time point of interest.

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Brooklin, Canada

Carolyn Patricia Mcgregor