Classification of Volatile Compounds with Morphological Analysis of e-nose Response

Rita Alves, Rita Alves, Rita Alves, João Rodrigues, Efthymia Ramou, Efthymia Ramou, Susana I. C. J. Palma, Susana I. C. J. Palma, Ana C. A. Roque, Ana C. A. Roque, Hugo Gamboa

2022

Abstract

Electronic noses (e-noses) mimic human olfaction, by identifying Volatile Organic Compounds (VOCs). This work presents a novel approach that successfully classifies 11 known VOCs using the signals generated by sensing gels in an in-house developed e-nose. The proposed signals’ analysis methodology is based on the generated signals’ morphology for each VOC since different sensing gels produce signals with different shapes when exposed to the same VOC. For this study, two different gel formulations were considered, and an average f1-score of 84% and 71% was obtained, respectively. Moreover, a standard method in time series classification was used to compare the performances. Even though this comparison reveals that the morphological approach is not as good as the 1-nearest neighbour with euclidean distance, it shows the possibility of using descriptive sentences with text mining techniques to perform VOC classification.

Paper Citation

in Harvard Style

Alves R., Rodrigues J., Ramou E., Palma S., Roque A. and Gamboa H. (2022). Classification of Volatile Compounds with Morphological Analysis of e-nose Response. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS; ISBN 978-989-758-552-4, SciTePress, pages 31-39. DOI: 10.5220/0010827200003123

in Bibtex Style

@conference{biosignals22,
author={Rita Alves and João Rodrigues and Efthymia Ramou and Susana I. C. J. Palma and Ana C. A. Roque and Hugo Gamboa},
title={Classification of Volatile Compounds with Morphological Analysis of e-nose Response},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS},
year={2022},
pages={31-39},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010827200003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS
TI - Classification of Volatile Compounds with Morphological Analysis of e-nose Response
SN - 978-989-758-552-4
AU - Alves R.
AU - Rodrigues J.
AU - Ramou E.
AU - Palma S.
AU - Roque A.
AU - Gamboa H.
PY - 2022
SP - 31
EP - 39
DO - 10.5220/0010827200003123
PB - SciTePress