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Classification of Oxygen Transport to Tissue with Neural Networks

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Oxygen Transport to Tissue XIV

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 317))

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Abstract

When spectrometric techniques are applied for tissue monitoring in patients [1] a high sampling rate of spectra can improve the accuracy and reliability of the measurements by increasing the signal to noise ratio. Furthermore a high time resolution for recording of rapid tissue kinetics can be attained. A considerable amount of data must be computed for real time evaluation.

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Literature

  1. M. Brunner, R. Eilermann, K.H. Frank, and M. Kessler, Measurements and Processing of Intracapillary Hemoglobin Spectra by Using a Micro-Lightguide Spectrophotometer in Connection with a Microcomputer in: Advances in Experimental Medicine and Biology, Volume 191 Plenum Press (1985)

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  2. W. Duemmler, Bestimmung von Haemoglobin-Oxygenierung und relativer Haemoglobin-Konzentration in biologischen Systemen durch Auswertung von Remissionsspektren mit Hilfe der Kubelka-Munk-Theorie. Dissertation Institut für Physiologie und Kardiologie, Universitaet Erlangen-Nuernberg (1988)

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  3. D.E. Rumelhart and J.L. McClelland, Parallel Distributed Processing, Vol. I: Foundations, The MIT Press. Cambridge, Massachusetts, (1987)

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Author information

Authors and Affiliations

  1. Diehl GmbH, Fischbachstrasse 16, D 8505, Roethenbach, Germany

    Wolfgang Babel, Norbert Hetterich & Thomas Müller

Authors
  1. Wolfgang Babel
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  2. Norbert Hetterich
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  3. Thomas Müller
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Editor information

Editors and Affiliations

  1. Erasmus University, Rotterdam, The Netherlands

    Wilhelm Erdmann

  2. University of Maryland Baltimore County, Baltimore, Maryland, USA

    Duane F. Bruley

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© 1992 Springer Science+Business Media New York

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Babel, W., Hetterich, N., Müller, T. (1992). Classification of Oxygen Transport to Tissue with Neural Networks. In: Erdmann, W., Bruley, D.F. (eds) Oxygen Transport to Tissue XIV. Advances in Experimental Medicine and Biology, vol 317. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3428-0_81

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  • DOI: https://doi.org/10.1007/978-1-4615-3428-0_81

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6516-7

  • Online ISBN: 978-1-4615-3428-0

  • eBook Packages: Springer Book Archive

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