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Methods for Processing Mass Spectrometry Signals from Exhaled Gases for Medical Diagnosis

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Biomedical Engineering Aims and scope

The composition of gases exhaled by humans can be analyzed using small-scale quadrupole mass spectrometers. The analysis results can be used for diagnosis of the state of health. Mathematical processing of mass spectrometry signals allows mass spectra to be classified into healthy or sick, and also into groups of patients. Algorithms for primary data processing and classification based on multidimensional statistical methods, i.e., discriminant and cluster analysis, are described.

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Authors and Affiliations

  1. Institute for Analytical Instrumentation, Russian Academy of Sciences, St. Petersburg, Russia

    V. V. Manoilov, L. V. Novikov, I. V. Zarutskii, A. G. Kuz’min & Yu. A. Titov

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  1. V. V. Manoilov
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  2. L. V. Novikov
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  3. I. V. Zarutskii
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  4. A. G. Kuz’min
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  5. Yu. A. Titov
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Corresponding author

Correspondence to V. V. Manoilov.

Additional information

Translated from Meditsinskaya Tekhnika, Vol. 53, No. 5, Sep.-Oct., 2019, pp. 42-45.

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Manoilov, V.V., Novikov, L.V., Zarutskii, I.V. et al. Methods for Processing Mass Spectrometry Signals from Exhaled Gases for Medical Diagnosis. Biomed Eng 53, 355–359 (2020). https://doi.org/10.1007/s10527-020-09942-0

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  • DOI: https://doi.org/10.1007/s10527-020-09942-0

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