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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

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A method for clinical and physiological event stream processing.

Rishikesan Kamaleswaran¹, Carolyn McGregor, J Eklund

¹University of Ontario Institute of Technology, Oshawa, Canada. rishikesan.kamaleswaran@uoit.ca

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|November 25, 2010

Summary

This summary is machine-generated.

This study introduces Artemis, a system for processing health data streams to detect infant instability. It enables real-time alerts and clinician hypothesis testing in critical care settings.

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Area of Science:

Biomedical Informatics
Critical Care Medicine
Data Stream Processing

Background:

Healthcare generates synchronous physiological and asynchronous clinical data streams.
Real-time analysis is crucial for timely interventions in critical care.
Existing systems may lack the flexibility for dynamic hypothesis testing.

Purpose of the Study:

To demonstrate the feasibility of Artemis for processing diverse health data streams.
To validate Artemis's capability in delivering timely alerts for infant instability.
To assess Artemis's potential for interactive clinician-driven hypothesis validation.

Main Methods:

Developed Artemis, an extension of IBM's InfoSphere Streams.
Modeled a clinical case study for a critical care environment.
Transformed the model into Stream's SPADE code for execution.

Main Results:

Successfully demonstrated Artemis's ability to process synchronous and asynchronous health data.
Validated the delivery of positive alerts indicating infant instability in real-time.
Showcased Artemis's potential for clinician interaction with the rule-based system.

Conclusions:

Artemis is a feasible solution for event stream processing of health data in critical care.
The system effectively delivers real-time notifications for neonatal instability detection.
Artemis supports interactive hypothesis testing, enhancing clinical decision-making.