Article

High frequency distributed data stream event correlation to improve neonatal clinical management

Authors:

Carolyn McGregor,

Mike StaceyAuthors Info & Claims

DEBS '07: Proceedings of the 2007 inaugural international conference on Distributed event-based systems

Pages 146 - 151

https://doi.org/10.1145/1266894.1266923

Published: 20 June 2007 Publication History

Abstract

Approximately eighteen percent (18%) of babies born in New South Wales (NSW), Australia require special care or neonatal intensive care admission. Premature babies can be up to 17 weeks early and may only weigh 450gms; they can spend 3 or 4 months in intensive care and have dozens of specific diseases before discharge, many of these may have long term implications for the future health of the individual. In addition, fifteen percent of neonatal intensive care admissions are transferred after delivery from smaller regional or remote hospitals without intensive care facilities to larger Tertiary Referral or Children's Hospitals with Neonatal Intensive Care Units (NICUs). Similar conditions apply within Australia, New Zealand, Canada, USA and elsewhere where small non-tertiary units are spread throughout the country. This paper presents case study based applied research in progress supporting the development of a distributed event stream processing framework to enable high frequency distributed data stream event correlation to improve neonatal clinical management. This research extends the traditional notion of event-based approaches by extending the notion of an event to incorporate a composite event that exists over a period of time, as is required within the domain of health and medicine. This is achieved through a multi-agent event calculus based approach that supports temporal abstraction. A key contribution of this research is the ability to support automated medical condition onset detection.

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Cited By

Blount MEbling MEklund JJames AMcGregor CPercival NSmith KSow D(2010)Real-Time Analysis for Intensive Care: Development and Deployment of the Artemis Analytic SystemIEEE Engineering in Medicine and Biology Magazine10.1109/MEMB.2010.93645429:2(110-118)Online publication date: Mar-2010
https://doi.org/10.1109/MEMB.2010.936454
McGregor CEklund J(2010)Next generation remote critical care through service-oriented architectures: challenges and opportunitiesService Oriented Computing and Applications10.1007/s11761-010-0053-84:1(33-43)Online publication date: 3-Mar-2010
https://doi.org/10.1007/s11761-010-0053-8
Eklund JMcGregor C(2009)Standards for physiological data transmission and archiving for the support of the service of critical careACM SIGBED Review10.1145/1859823.18598326:2(1-6)Online publication date: 1-Jul-2009
https://dl.acm.org/doi/10.1145/1859823.1859832
Show More Cited By

Index Terms

High frequency distributed data stream event correlation to improve neonatal clinical management
1. Applied computing
  1. Life and medical sciences

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cover image ACM Conferences

DEBS '07: Proceedings of the 2007 inaugural international conference on Distributed event-based systems

June 2007

275 pages

ISBN:9781595936653

DOI:10.1145/1266894

General Chair:
Hans-Arno Jacobsen
University of Toronto, Canada

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 20 June 2007

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DEBS07: Distributed Event-based Systems Conference

June 20 - 22, 2007

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Cited By

Blount MEbling MEklund JJames AMcGregor CPercival NSmith KSow D(2010)Real-Time Analysis for Intensive Care: Development and Deployment of the Artemis Analytic SystemIEEE Engineering in Medicine and Biology Magazine10.1109/MEMB.2010.93645429:2(110-118)Online publication date: Mar-2010
https://doi.org/10.1109/MEMB.2010.936454
McGregor CEklund J(2010)Next generation remote critical care through service-oriented architectures: challenges and opportunitiesService Oriented Computing and Applications10.1007/s11761-010-0053-84:1(33-43)Online publication date: 3-Mar-2010
https://doi.org/10.1007/s11761-010-0053-8
Eklund JMcGregor C(2009)Standards for physiological data transmission and archiving for the support of the service of critical careACM SIGBED Review10.1145/1859823.18598326:2(1-6)Online publication date: 1-Jul-2009
https://dl.acm.org/doi/10.1145/1859823.1859832
McGregor CSmith K(2009)A Survey of Physiological Monitoring Data Models to Support the Service of Critical CareProceedings of the 2009 33rd Annual IEEE International Computer Software and Applications Conference - Volume 0210.1109/COMPSAC.2009.122(104-109)Online publication date: 20-Jul-2009
https://dl.acm.org/doi/10.1109/COMPSAC.2009.122
McGregor CSmith KEklund J(2009)A survey of recent physiological monitoring and transmission to support the service of critical care2009 22nd IEEE International Symposium on Computer-Based Medical Systems10.1109/CBMS.2009.5255404(1-7)Online publication date: Aug-2009
https://doi.org/10.1109/CBMS.2009.5255404
Catley CStratti HMcGregor C(2008)Multi-dimensional temporal abstraction and data mining of medical time series data: Trends and challenges2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society10.1109/IEMBS.2008.4650166(4322-4325)Online publication date: Aug-2008
https://doi.org/10.1109/IEMBS.2008.4650166
McGregor CEklund J(2008)Real-Time Service-Oriented Architectures to Support Remote Critical CareProceedings of the 2008 32nd Annual IEEE International Computer Software and Applications Conference10.1109/COMPSAC.2008.175(1199-1204)Online publication date: 28-Jul-2008
https://dl.acm.org/doi/10.1109/COMPSAC.2008.175

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