Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161312
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dc.contributor.authorPongsakornsathien, Nichakornen_US
dc.contributor.authorGardi, Alessandroen_US
dc.contributor.authorLim, Yixiangen_US
dc.contributor.authorSabatini, Robertoen_US
dc.contributor.authorKistan, Trevoren_US
dc.date.accessioned2022-08-24T07:22:23Z-
dc.date.available2022-08-24T07:22:23Z-
dc.date.issued2022-
dc.identifier.citationPongsakornsathien, N., Gardi, A., Lim, Y., Sabatini, R. & Kistan, T. (2022). Wearable cardiorespiratory sensors for aerospace applications. Sensors, 22(13), 4673-. https://dx.doi.org/10.3390/s22134673en_US
dc.identifier.issn1424-8220en_US
dc.identifier.urihttps://hdl.handle.net/10356/161312-
dc.description.abstractEmerging Air Traffic Management (ATM) and avionics human-machine system concepts require the real-time monitoring of the human operator to support novel task assessment and system adaptation features. To realise these advanced concepts, it is essential to resort to a suite of sensors recording neurophysiological data reliably and accurately. This article presents the experimental verification and performance characterisation of a cardiorespiratory sensor for ATM and avionics applications. In particular, the processed physiological measurements from the designated commercial device are verified against clinical-grade equipment. Compared to other studies which only addressed physical workload, this characterisation was performed also looking at cognitive workload, which poses certain additional challenges to cardiorespiratory monitors. The article also addresses the quantification of uncertainty in the cognitive state estimation process as a function of the uncertainty in the input cardiorespiratory measurements. The results of the sensor verification and of the uncertainty propagation corroborate the basic suitability of the commercial cardiorespiratory sensor for the intended aerospace application but highlight the relatively poor performance in respiratory measurements during a purely mental activity.en_US
dc.language.isoenen_US
dc.relation.ispartofSensorsen_US
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).en_US
dc.subjectEngineering::Aeronautical engineeringen_US
dc.titleWearable cardiorespiratory sensors for aerospace applicationsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.researchSaab-NTU Joint Laben_US
dc.identifier.doi10.3390/s22134673-
dc.description.versionPublished versionen_US
dc.identifier.pmid35808167-
dc.identifier.scopus2-s2.0-85132267534-
dc.identifier.issue13en_US
dc.identifier.volume22en_US
dc.identifier.spage4673en_US
dc.subject.keywordsAir Traffic Managementen_US
dc.subject.keywordsCognitive Ergonomicsen_US
dc.description.acknowledgementThe authors wish to thank and acknowledge THALES Australia and Northrop Grumman Corporation for supporting different aspects of this work under the collaborative research projects RE-02544-0200315666 and RE-03163-0200317164 respectively.en_US
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