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Design Considerations and Optimization of Calorimetric Flow Sensor for Respiratory Monitoring

Kitsos, V; West, S; Demosthenous, A; Liu, X; (2017) Design Considerations and Optimization of Calorimetric Flow Sensor for Respiratory Monitoring. In: Lian, Yong and Lande, Tor Sverre and Wang, Zhihua, (eds.) Proceedings of 12th IEEE Biomedical Circuits and Systems Conference (BioCAS) - 2016. (pp. pp. 26-29). IEEE: Shanghai, China. Green open access

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Abstract

This paper evaluates the impact of the operating modes, power consumption, and placement of temperature sensors against the heater to the design of a calorimetric flow sensor, for the range of 4.7 to 56.5 liters per minute (slm). In contrast to previous works most of which simply indicated the choice of various design parameters rather than providing a justification, this work provides useful guidelines for optimizing low-power small-area flow sensors for respiratory monitoring applications. A figure of merit (FoM) which is defined as the product of power consumption and sensor size, the two most challenging design parameters in developing small medical devices and systems, is proposed for quantifying flow sensor performance. Although the analysis and simulation was drawn upon designs in the mm scale, a similar optimization process can be applied to flow sensors of anysize.

Type: Proceedings paper
Title: Design Considerations and Optimization of Calorimetric Flow Sensor for Respiratory Monitoring
Event: 12th IEEE Biomedical Circuits and Systems Conference (BioCAS) - 2016
Location: Shanghai, PEOPLES R CHINA
Dates: 17 October 2016 - 19 October 2016
ISBN-13: 978-1-5090-2959-4
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/BioCAS.2016.7833716
Publisher version: https://doi.org/10.1109/BioCAS.2016.7833716
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Heating, Temperature sensors, Temperature measurement, Monitoring, Power demand, Fluids, Mathematical model
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1546766
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