Low-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm

Ryan M. Corey; Evan M. Widloski; David Null; Brian Ricconi; Mark A. Johnson; Karen C. White; Jennifer R. Amos; Alexander Pagano; Michael L. Oelze; Rachel D. Switzky; Matthew B. Wheeler; Eliot B. Bethke; Clifford F. Shipley; Andrew C. Singer

doi:10.1109/TBCAS.2020.3020702

Low-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm

Ryan M. Corey, Evan M. Widloski, David Null, Brian Ricconi, Mark A. Johnson, Karen C. White, Jennifer R. Amos, Alexander Pagano, Michael L. Oelze, Rachel D. Switzky, Matthew B. Wheeler, Eliot B. Bethke, Clifford F. Shipley, Andrew C. Singer

Research output: Contribution to journal › Article › peer-review

Abstract

In response to anticipated shortages of ventilators caused by the COVID-19 pandemic, many organizations have designed low-cost emergency ventilators. Many of these devices are pressure-cycled pneumatic ventilators, which are easy to produce but often do not include the sensing or alarm features found on commercial ventilators. This work reports a low-cost, easy-to-produce electronic sensor and alarm system for pressure-cycled ventilators that estimates clinically useful metrics such as pressure and respiratory rate and sounds an alarm when the ventilator malfunctions. A low-complexity signal processing algorithm uses a pair of nonlinear recursive envelope trackers to monitor the signal from an electronic pressure sensor connected to the patient airway. The algorithm, inspired by those used in hearing aids, requires little memory and performs only a few calculations on each sample so that it can run on nearly any microcontroller.

Original language	English (US)
Article number	9184284
Pages (from-to)	1088-1096
Number of pages	9
Journal	IEEE Transactions on Biomedical Circuits and Systems
Volume	14
Issue number	5
DOIs	https://doi.org/10.1109/TBCAS.2020.3020702
State	Published - Oct 2020

Keywords

Biomedical monitoring
biomedical signal processing
envelope detectors
pressure measurement
ventilators

ASJC Scopus subject areas

Biomedical Engineering
Electrical and Electronic Engineering

Online availability

10.1109/TBCAS.2020.3020702

Library availability

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Corey, R. M., Widloski, E. M., Null, D., Ricconi, B., Johnson, M. A., White, K. C., Amos, J. R., Pagano, A., Oelze, M. L., Switzky, R. D., Wheeler, M. B., Bethke, E. B., Shipley, C. F., & Singer, A. C. (2020). Low-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm. IEEE Transactions on Biomedical Circuits and Systems, 14(5), 1088-1096. Article 9184284. https://doi.org/10.1109/TBCAS.2020.3020702

Corey, RM, Widloski, EM, Null, D, Ricconi, B, Johnson, MA , White, KC , Amos, JR, Pagano, A, Oelze, ML, Switzky, RD, Wheeler, MB, Bethke, EB, Shipley, CF & Singer, AC 2020, 'Low-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm', IEEE Transactions on Biomedical Circuits and Systems, vol. 14, no. 5, 9184284, pp. 1088-1096. https://doi.org/10.1109/TBCAS.2020.3020702

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abstract = "In response to anticipated shortages of ventilators caused by the COVID-19 pandemic, many organizations have designed low-cost emergency ventilators. Many of these devices are pressure-cycled pneumatic ventilators, which are easy to produce but often do not include the sensing or alarm features found on commercial ventilators. This work reports a low-cost, easy-to-produce electronic sensor and alarm system for pressure-cycled ventilators that estimates clinically useful metrics such as pressure and respiratory rate and sounds an alarm when the ventilator malfunctions. A low-complexity signal processing algorithm uses a pair of nonlinear recursive envelope trackers to monitor the signal from an electronic pressure sensor connected to the patient airway. The algorithm, inspired by those used in hearing aids, requires little memory and performs only a few calculations on each sample so that it can run on nearly any microcontroller.",

keywords = "Biomedical monitoring, biomedical signal processing, envelope detectors, pressure measurement, ventilators",

author = "Corey, {Ryan M.} and Widloski, {Evan M.} and David Null and Brian Ricconi and Johnson, {Mark A.} and White, {Karen C.} and Amos, {Jennifer R.} and Alexander Pagano and Oelze, {Michael L.} and Switzky, {Rachel D.} and Wheeler, {Matthew B.} and Bethke, {Eliot B.} and Shipley, {Clifford F.} and Singer, {Andrew C.}",

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AU - Amos, Jennifer R.

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AU - Oelze, Michael L.

AU - Switzky, Rachel D.

AU - Wheeler, Matthew B.

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AU - Shipley, Clifford F.

AU - Singer, Andrew C.

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AB - In response to anticipated shortages of ventilators caused by the COVID-19 pandemic, many organizations have designed low-cost emergency ventilators. Many of these devices are pressure-cycled pneumatic ventilators, which are easy to produce but often do not include the sensing or alarm features found on commercial ventilators. This work reports a low-cost, easy-to-produce electronic sensor and alarm system for pressure-cycled ventilators that estimates clinically useful metrics such as pressure and respiratory rate and sounds an alarm when the ventilator malfunctions. A low-complexity signal processing algorithm uses a pair of nonlinear recursive envelope trackers to monitor the signal from an electronic pressure sensor connected to the patient airway. The algorithm, inspired by those used in hearing aids, requires little memory and performs only a few calculations on each sample so that it can run on nearly any microcontroller.

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Low-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm

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Keywords

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