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

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...

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Bibliographic Details
Published in:Biomedical engineering 2020, Vol.53 (5), p.355-359
Main Authors: Manoilov, V. V., Novikov, L. V., Zarutskii, I. V., Kuz’min, A. G., Titov, Yu. A.
Format: Article
Language:English
Subjects:
Algorithms
Biomaterials
Biomedical Engineering and Bioengineering
Classification
Cluster analysis
Data processing
Diagnosis
Discriminant analysis
Engineering
Gases
Mass spectra
Mass spectrometry
Mass spectroscopy
Medical diagnosis
Methods
Multidimensional methods
Pathology
Patients
Quadrupoles
Scientific imaging
Signal processing
Spectrometers
Statistical methods
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Summary: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.
ISSN:0006-3398
1573-8256
DOI:10.1007/s10527-020-09942-0