1. Detection of characteristic clusters in IMS-Spectrograms of exhaled air polluted with environmental contaminants
- Author
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Gunther Becher, Roman Purkhart, Rolf Graupner, and Anne Hillmann
- Subjects
Medical diagnostic ,Chemistry ,Environmental chemistry ,Spectrogram ,Environmental pollution ,Data mining ,Disease markers ,Contamination ,computer.software_genre ,computer ,Exhaled air ,Spectroscopy ,Ambient air - Abstract
Detection of special disease markers in exhaled breath is a method becoming more and more relevant in medical diagnostic. The test environment plays a big role in the analysis of exhaled air when using ion mobility spectrometry (IMS). Environmental contaminants appear also in exhaled air of test persons, potentially even in other forms then in the ambient air. Different ways to deal with these environmental factors will be discussed and our method of choice will be presented. It was possible to identify specific fingerprints for dedicated features of probands as well as for specific environmental pollution. By using statistical evaluation it was also possible to identify characteristic features of probands notwithstanding the environmental burden for correct assignment into specific groups, reaching correct classification rates above 0.85.
- Published
- 2012
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