Application of data fusion to neonate oxygenation control

Mark E. Kotanchek, James P. Helferty, W. Bosseau Murray, Charles Palmer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Premature and newborn infants often have underdeveloped lungs and, as a result, benefit from additional oxygen. Unfortunately, too much oxygen risks inducing blindness as well as other toxicity phenomena. Since the infant's oxygen uptake and delivery vary widely and are constantly changing, automatic control of the supplied oxygen is desirable. Many of the issues and technologies of tactical control are applicable to this problem: real-time control, expert system knowledge, multi-sensor corroboration and data fusion, failure identification and artifact rejection, etc. This paper explores these issues as well as the results of current PSU research in neonate oxygen control.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
Editors Anon
PublisherIEEE
Pages509-514
Number of pages6
StatePublished - 1994
EventProceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems - Las Vegas, NV, USA
Duration: Oct 2 1994Oct 5 1994

Other

OtherProceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
CityLas Vegas, NV, USA
Period10/2/9410/5/94

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering

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