A Mathematical Model for Analyses of Muscle Oxygenation Measurements Using NIR Spectroscopy

  • Khai Jun Kek
  • Nobuki Kudo
  • Katsuyuki Yamamoto
Conference paper
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 662)


Near-infrared spectroscopy (NIRS) enables noninvasive measurement of muscle oxygenation. However, since NIRS does not enable direct measurement of muscle metabolism, it is necessary to analyze the dynamic changes in metabolism during exercise using other methods in order to understand the relationship between NIRS measurements and muscle metabolism. A model of muscle metabolism that is composed of aerobic and anaerobic metabolic systems and O2 transport to tissue system was developed. Using the model, the temporal profiles of muscle oxygenation during exercise with different intensities (20, 40 and 70% maximum voluntary contraction), measured using NIRS in a single subject, were sufficiently reproduced. In addition, analyses of simulation results of (i) aerobic and anaerobic metabolic systems and (ii) O2 consumption were performed, and the intensity-dependent differences in the temporal responses during exercise and recovery periods were estimated. The initial results show the usefulness of the model for simulating the kinetics of NIRS measurement data and for systematic interpretation of the relationship between NIRS data and muscle metabolism.


Maximum Voluntary Contraction Blood Flow Rate Muscle Metabolism Muscle Oxygenation NIRS Measurement 
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This study was supported by a research fellowship and a Grant-in-aid for Scientific Research from the Japan Society for the Promotion of Science. We thank Hokkaido Red Cross Blood Center for providing blood for performance tests of the instrument.


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Khai Jun Kek
    • 1
  • Nobuki Kudo
    • 1
  • Katsuyuki Yamamoto
    • 1
  1. 1.Graduate School of Information Science and TechnologyHokkaido UniversitySapporoJapan

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