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dc.contributor.authorZiyatdinov, Andrey
dc.contributor.authorFonollosa Magrinyà, Jordi
dc.contributor.authorValentín-Fernández Gallart, Luis
dc.contributor.authorGutierrez Galvez, Agustín
dc.contributor.authorMarco Colas, Santiago
dc.contributor.authorPerera Lluna, Alexandre
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2016-06-17T06:56:46Z
dc.date.available2016-06-17T06:56:46Z
dc.date.issued2015-01-01
dc.identifier.citationZiyatdinov, A., Fonollosa, J., Valentin-Fernandez, L., Gutierrez, A., Marco, S., Perera, A. Bioinspired early detection through gas flow modulation in chemo-sensory systems. "Sensors and actuators B. Chemical", 01 Gener 2015, vol. 206, p. 538-547.
dc.identifier.issn0925-4005
dc.identifier.urihttp://hdl.handle.net/2117/88116
dc.description.abstractThe design of bioinspired systems for chemical sensing is an engaging line of research in machine olfaction. Developments in this line could increase the lifetime and sensitivity of artificial chemo-sensory systems. Such approach is based on the sensory systems known in live organisms, and the resulting developed artificial systems are targeted to reproduce the biological mechanisms to some extent. Sniffing behaviour, sampling odours actively, has been studied recently in neuroscience, and it has been suggested that the respiration frequency is an important parameter of the olfactory system, since the odour perception, especially in complex scenarios such as novel odourants exploration, depends on both the stimulus identity and the sampling method. In this work we propose a chemical sensing system based on an array of 16 metal-oxide gas sensors that we combined with an external mechanical ventilator to simulate the biological respiration cycle. The tested gas classes formed a relatively broad combination of two analytes, acetone and ethanol, in binary mixtures. Two sets of low-frequency and high-frequency features were extracted from the acquired signals to show that the high-frequency features contain information related to the gas class. In addition, such information is available at early stages of the measurement, which could make the technique suitable in early detection scenarios. The full data set is made publicly available to the community. (C) 2014 Elsevier B.V. All rights reserved.
dc.format.extent10 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshElectronic nose
dc.subject.otherGas sensor array
dc.subject.otherMOX sensor
dc.subject.otherFlow modulation
dc.subject.otherEarly detection
dc.subject.otherBiomimetics
dc.subject.otherSniffing
dc.subject.otherMachine olfaction
dc.subject.otherOptimization
dc.subject.otherRegression
dc.subject.otherTransient
dc.subject.otherArray
dc.titleBioinspired early detection through gas flow modulation in chemo-sensory systems
dc.typeArticle
dc.subject.lemacNas electrònic
dc.contributor.groupUniversitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics
dc.identifier.doi10.1016/j.snb.2014.09.001
dc.rights.accessOpen Access
local.identifier.drac15355889
dc.description.versionPostprint (author's final draft)
local.citation.authorZiyatdinov, A.; Fonollosa, J.; Valentin-Fernandez, L.; Gutierrez, A.; Marco, S.; Perera, A.
local.citation.publicationNameSensors and actuators B. Chemical
local.citation.volume206
local.citation.startingPage538
local.citation.endingPage547


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