Comparing Different Dictionary-Based Classifiers for the Classification of Volatile Compounds Measured with an E-nose

Author:

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

Publisher

Springer Nature Switzerland

Reference55 articles.

1. A study of an electronic nose for detection of lung cancer based on a virtual saw gas sensors array and imaging recognition method, author = Chen, Xing and Cao, Mingfu and Li, Yi and Hu, Weijun and Wang, Ping and Ying, Kejing and Pan, Hongming, year = 2005, journal = Measurement Science and Technology, volume = 16, number = 8, pages = 1535–1546, doi = https://doi.org/10.1088/0957-0233/16/8/001, issn = 0957-0233, url = https://iopscience.iop.org/article/10.1088/0957-0233/16/8/001, keywords = Breath detection, Electronic nose, Lung cancer, Non-invasive detection, Virtual sensors array

2. Alves., R., Rodrigues., J., Ramou., E., Palma., S., Roque., A., Gamboa., H.: 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 - BIOSIGNALS, pp. 31–39. INSTICC, SciTePress (2022). https://doi.org/10.5220/0010827200003123

3. Bos, L.D.J., Sterk, P.J., Schultz, M.J.: Volatile metabolites of pathogens: a systematic review. PLoS Pathog. 9(5), e1003311 (2013). https://doi.org/10.1371/journal.ppat.1003311, https://dx.plos.org/10.1371/journal.ppat.1003311

4. Bruins, M., Rahim, Z., Bos, A., van de Sande, W.W., Endtz, H.P., van Belkum, A.: Diagnosis of active tuberculosis by e-nose analysis of exhaled air. Tuberculosis 93(2), 232–238 (2013). https://doi.org/10.1016/j.tube.2012.10.002, https://linkinghub.elsevier.com/retrieve/pii/S1472979212001898

5. Capelli, L., et al.: Application and uses of electronic noses for clinical diagnosis on urine samples: a review. Sensors 16(10), 1708 (2016). https://doi.org/10.3390/s16101708, http://www.mdpi.com/1424-8220/16/10/1708

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