Pulse oximeter signal modeling and fusion for hypoxia monitoring

Sayandeep Acharya, Arjun Rajasekar, Barry S. Shender, Leonid Hrebien, Moshe Kam

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

4 Scopus citations

Abstract

We develop models and fusion rules for oximeters that detect the onset of hypoxia. Hypoxia is a medical condition affecting portions of the body that are deprived of oxygen supply. Prolonged exposure to cerebral oxygen deficiency can lead to unconsciousness or even death. The onset of hypoxia in humans is of concern for those operating in high altitudes, and in military flights characterized by high-acceleration maneuvers. Using oximeters for measuring blood oxygen saturation levels is a common means to detect hypoxia in real time. Many types of oximeters can be used for this task but all are prone to complicated noise characteristics and bias inaccuracies. It may therefore be advisable to collect and combine data streams from multiple oximeters for more reliable Hypoxia/No Hypoxia decisions (compared to decisions made by a single oximeter). Here we develop statistical noise models for three popular types of oximeters (Respironics Novametrix 515B, Nonin forehead pulse oximeter 9847, and Masimo Rad-87). We also combine data streams from these oximeters using a Kalman filter. The result is a smooth and reliable estimate of blood oxygen saturation level which can be used to detect the onset of Hypoxia.

Original languageEnglish (US)
Title of host publicationFUSION 2014 - 17th International Conference on Information Fusion
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788490123553
StatePublished - Oct 3 2014
Externally publishedYes
Event17th International Conference on Information Fusion, FUSION 2014 - Salamanca, Spain
Duration: Jul 7 2014Jul 10 2014

Publication series

NameFUSION 2014 - 17th International Conference on Information Fusion

Other

Other17th International Conference on Information Fusion, FUSION 2014
CountrySpain
CitySalamanca
Period7/7/147/10/14

All Science Journal Classification (ASJC) codes

  • Information Systems

Keywords

  • Colored Noise
  • Hypoxia Monitoring
  • Kalman Filter
  • Pulse Oximeters
  • Sensor Fusion

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