Estimation of Blood Oxygen Content Using Context-Aware Filtering
Radoslav Ivanov, Nikolay A. Atanasov, James Weimer, Miroslav Pajic, Allan Simpao, Mohamed Rehman, George Pappas, Insup Lee

Citation
Radoslav Ivanov, Nikolay A. Atanasov, James Weimer, Miroslav Pajic, Allan Simpao, Mohamed Rehman, George Pappas, Insup Lee. "Estimation of Blood Oxygen Content Using Context-Aware Filtering". ACM/IEEE International Conference on Cyber-Physical Systems, 11, April, 2016.

Abstract
In this paper we address the problem of estimating the blood oxygen concentration in children during surgery. Currently, the oxygen content can only be measured through invasive means such as drawing blood from the patient. In this work, we attempt to perform estimation by only using other non-invasive measurements (e.g., fraction of oxygen in inspired air, volume of inspired air) collected during surgery. Although models mapping these measurements to blood oxygen content contain multiple parameters that vary widely across patients, the non-invasive measurements can be used to provide binary information about whether the oxygen concentration is rising or dropping. This information can then be incorporated in a context-aware filter that is used to combine regular continuous measurements with discrete detection events in order to improve estimation. We evaluate the filter using real-patient data collected over the last decade at the Children's Hospital of Philadelphia and show that it is a promising approach for the estimation of unobservable physiological variables.

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Citation formats

• HTML

  Radoslav Ivanov, Nikolay A. Atanasov, James Weimer, Miroslav
  Pajic, Allan Simpao, Mohamed Rehman, George Pappas, Insup
  Lee. <a
  href="http://www.terraswarm.org/pubs/734.html"
  >Estimation of Blood Oxygen Content Using Context-Aware
  Filtering</a>, ACM/IEEE International Conference on
  Cyber-Physical Systems, 11, April, 2016.

• Plain text

  Radoslav Ivanov, Nikolay A. Atanasov, James Weimer, Miroslav
  Pajic, Allan Simpao, Mohamed Rehman, George Pappas, Insup
  Lee. "Estimation of Blood Oxygen Content Using
  Context-Aware Filtering". ACM/IEEE International
  Conference on Cyber-Physical Systems, 11, April, 2016.

• BibTeX

  @inproceedings{IvanovAtanasovWeimerPajicSimpaoRehmanPappasLee16_EstimationOfBloodOxygenContentUsingContextAwareFiltering,
      author = {Radoslav Ivanov and Nikolay A. Atanasov and James
                Weimer and Miroslav Pajic and Allan Simpao and
                Mohamed Rehman and George Pappas and Insup Lee},
      title = {Estimation of Blood Oxygen Content Using
                Context-Aware Filtering},
      booktitle = {ACM/IEEE International Conference on
                Cyber-Physical Systems},
      day = {11},
      month = {April},
      year = {2016},
      abstract = {In this paper we address the problem of estimating
                the blood oxygen concentration in children during
                surgery. Currently, the oxygen content can only be
                measured through invasive means such as drawing
                blood from the patient. In this work, we attempt
                to perform estimation by only using other
                non-invasive measurements (e.g., fraction of
                oxygen in inspired air, volume of inspired air)
                collected during surgery. Although models mapping
                these measurements to blood oxygen content contain
                multiple parameters that vary widely across
                patients, the non-invasive measurements can be
                used to provide binary information about whether
                the oxygen concentration is rising or dropping.
                This information can then be incorporated in a
                context-aware filter that is used to combine
                regular continuous measurements with discrete
                detection events in order to improve estimation.
                We evaluate the filter using real-patient data
                collected over the last decade at the Children's
                Hospital of Philadelphia and show that it is a
                promising approach for the estimation of
                unobservable physiological variables.},
      URL = {http://terraswarm.org/pubs/734.html}
  }
  

Posted by Nikolay A. Atanasov on 5 Feb 2016.
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