Clustering of Alpha Curves in Differential Mobility Spectrometry Data

Anton Rauhameri; Osmo Anttalainen; Jussi Rantala; Veikko Surakka; Antti Vehkaoja; Philipp Müller

doi:10.1109/isoen54820.2022.9789640

Clustering of Alpha Curves in Differential Mobility Spectrometry Data

Anton Rauhameri, Osmo Anttalainen, Jussi Rantala, Veikko Surakka, Antti Vehkaoja, Philipp Müller

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

2 Sitaatiot (Scopus)

39 Lataukset (Pure)

Abstrakti

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

Alkuperäiskieli	Englanti
Otsikko	2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
ISBN (elektroninen)	978-1-6654-5860-3
DOI - pysyväislinkit	https://doi.org/10.1109/isoen54820.2022.9789640
Tila	Julkaistu - 29 toukok. 2022
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE International Symposium on Olfaction and Electronic Nose - Aveiro, Portugali Kesto: 29 toukok. 2022 → 1 kesäk. 2022

Conference

Conference	IEEE International Symposium on Olfaction and Electronic Nose
Maa/Alue	Portugali
Kaupunki	Aveiro
Ajanjakso	29/05/22 → 1/06/22

Julkaisufoorumi-taso

Jufo-taso 1

Pääsy asiakirjaan

10.1109/isoen54820.2022.9789640

certified_final_2022046921
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Accepted author manuscript, 1,68 MBLisenssi: Unspecified

https://urn.fi/URN:NBN:fi:tuni-202210187660

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@inproceedings{75c9af95d6af41a49ed63f69c762189b,

title = "Clustering of Alpha Curves in Differential Mobility Spectrometry Data",

abstract = "Volatile organic compounds (VOC) can be analyzedand classified based on dispersion plots yielded by DifferentialMobility Spectrometry (DMS). These dispersion plots containtraces, also known as alpha curves that indicate the presence ofVOCs with specific charge and cross-sectional area. However,often the dispersion plots are analyzed without utilizing thisinformation but rather using the pixel values independently oranalyzing values at a specific high electric field level. This paperproposes a technique for extracting and clustering alpha curvesfrom dispersion plots. The cluster information could then beused inside existing detection and classification algorithms topotentially improve their accuracy",

author = "Anton Rauhameri and Osmo Anttalainen and Jussi Rantala and Veikko Surakka and Antti Vehkaoja and Philipp M{\"u}ller",

year = "2022",

month = may,

day = "29",

doi = "10.1109/isoen54820.2022.9789640",

language = "English",

booktitle = "2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)",

note = "IEEE International Symposium on Olfaction and Electronic Nose ; Conference date: 29-05-2022 Through 01-06-2022",

}

Rauhameri, A, Anttalainen, O, Rantala, J , Surakka, V , Vehkaoja, A & Müller, P 2022, Clustering of Alpha Curves in Differential Mobility Spectrometry Data. julkaisussa 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). IEEE International Symposium on Olfaction and Electronic Nose, Aveiro, Portugali, 29/05/22. https://doi.org/10.1109/isoen54820.2022.9789640

TY - GEN

T1 - Clustering of Alpha Curves in Differential Mobility Spectrometry Data

AU - Rauhameri, Anton

AU - Anttalainen, Osmo

AU - Rantala, Jussi

AU - Surakka, Veikko

AU - Vehkaoja, Antti

AU - Müller, Philipp

PY - 2022/5/29

Y1 - 2022/5/29

N2 - Volatile organic compounds (VOC) can be analyzedand classified based on dispersion plots yielded by DifferentialMobility Spectrometry (DMS). These dispersion plots containtraces, also known as alpha curves that indicate the presence ofVOCs with specific charge and cross-sectional area. However,often the dispersion plots are analyzed without utilizing thisinformation but rather using the pixel values independently oranalyzing values at a specific high electric field level. This paperproposes a technique for extracting and clustering alpha curvesfrom dispersion plots. The cluster information could then beused inside existing detection and classification algorithms topotentially improve their accuracy

AB - Volatile organic compounds (VOC) can be analyzedand classified based on dispersion plots yielded by DifferentialMobility Spectrometry (DMS). These dispersion plots containtraces, also known as alpha curves that indicate the presence ofVOCs with specific charge and cross-sectional area. However,often the dispersion plots are analyzed without utilizing thisinformation but rather using the pixel values independently oranalyzing values at a specific high electric field level. This paperproposes a technique for extracting and clustering alpha curvesfrom dispersion plots. The cluster information could then beused inside existing detection and classification algorithms topotentially improve their accuracy

U2 - 10.1109/isoen54820.2022.9789640

DO - 10.1109/isoen54820.2022.9789640

M3 - Conference contribution

BT - 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)

T2 - IEEE International Symposium on Olfaction and Electronic Nose

Y2 - 29 May 2022 through 1 June 2022

ER -

Clustering of Alpha Curves in Differential Mobility Spectrometry Data

Abstrakti

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