Clustering of Alpha Curves in Differential Mobility Spectrometry Data

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Abstract

Volatile organic compounds (VOC) can be analyzed
and classified based on dispersion plots yielded by Differential
Mobility Spectrometry (DMS). These dispersion plots contain
traces, also known as alpha curves that indicate the presence of
VOCs with specific charge and cross-sectional area. However,
often the dispersion plots are analyzed without utilizing this
information but rather using the pixel values independently or
analyzing values at a specific high electric field level. This paper
proposes a technique for extracting and clustering alpha curves
from dispersion plots. The cluster information could then be
used inside existing detection and classification algorithms to
potentially improve their accuracy
Original languageEnglish
Title of host publication2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
ISBN (Electronic)978-1-6654-5860-3
DOIs
Publication statusPublished - 29 May 2022
Publication typeA4 Article in conference proceedings
EventIEEE International Symposium on Olfaction and Electronic Nose - Aveiro, Portugal
Duration: 29 May 20221 Jun 2022

Conference

ConferenceIEEE International Symposium on Olfaction and Electronic Nose
Country/TerritoryPortugal
CityAveiro
Period29/05/221/06/22

Publication forum classification

  • Publication forum level 1

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