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Title: A practical method to estimate the resolving power of a chemical sensor array: application to feature selection
Author: Fernández Romero, Luis
Yan, Jia
Fonollosa, Jordi
Burgués, Javier
Gutiérrez Gálvez, Agustín
Marco Colás, Santiago
Keywords: Detectors químics
Teoria de la informació
Chemical detectors
Information theory
Issue Date: 12-Jun-2018
Publisher: Frontiers Media
Abstract: A methodology to calculate analytical figures of merit is not well established for detection systems that are based on sensor arrays with low sensor selectivity. In this work, we present a practical approach to estimate the Resolving Power of a sensory system, considering non-linear sensors and heteroscedastic sensor noise. We use the definition introduced by Shannon in the field of communication theory to quantify the number of symbols in a noisy environment, and its version adapted by Gardner and Barlett for chemical sensor systems. Our method combines dimensionality reduction and the use of algorithms to compute the convex hull of the empirical data to estimate the data volume in the sensor response space. We validate our methodology with synthetic data and with actual data captured with temperature-modulated MOX gas sensors. Unlike other methodologies, our method does not require the intrinsic dimensionality of the sensor response to be smaller than the dimensionality of the input space. Moreover, our method circumvents the problem to obtain the sensitivity matrix, which usually is not known. Hence, our method is able to successfully compute the Resolving Power of actual chemical sensor arrays. We provide a relevant figure of merit, and a methodology to calculate it, that was missing in the literature to benchmark broad-response gas sensor arrays.
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It is part of: Frontiers in Chemistry, 2018, vol. 6, p. 209
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ISSN: 2296-2646
Appears in Collections:Articles publicats en revistes (Enginyeria Electrònica i Biomèdica)
Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC))

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