About: Inexpensive multi-patient respiratory monitoring system for helmet ventilation during COVID-19 pandemic

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Inexpensive multi-patient respiratory monitoring system for helmet ventilation during COVID-19 pandemic Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Inexpensive multi-patient respiratory monitoring system for helmet ventilation during COVID-19 pandemic
Creator	Cohen, Daniel Kilbaugh, Todd Stone, Howard Bourrianne, Philippe Chidzik, Stanley Elmer, Peter Hallowell, Thomas Lange, David Leifer, Andrew Marlow, Daniel Meyers, Peter Normand, Edna Nunes, Janine Oh, Myungchul Page, Lyman Periera, Talmo Pivarski, Jim Schreiner, Henry Tank, David Thiberge, Stephan Tully, Christopher
source	MedRxiv
abstract	Helmet non-invasive ventilation (NIV) is a form of continuous positive applied pressure that has emerged as a useful therapy for COVID-19 patients who require respiratory support but may not require invasive ventilation. Helmet NIV has seen an increase in use during the COVID-19 pandemic because it is low-cost, readily available, and provides viral filters between the patient and clinician. Helmet NIV may also provide better patient outcomes by delaying or eliminating the need for invasive ventilation. Its widespread adoption has been limited, however, by the lack of a respiratory monitoring system that is needed to address known safety vulnerabilities and to provide clinicians with a respiratory profile of the patient. To address this safety need, we have developed an inexpensive respiratory monitoring system that is based on readily available commercial components and is suitable for rapid local manufacture. The system is designed for use in conjunction with the COVID-19 Helmet developed by Sea-Long Medical Systems, but is modular and can be used with other ventilation systems. The monitoring system comprises one or more flow and pressure sensors and a central remote station that can be used to remotely monitor up to 20 patients simultaneously. The system reports flow, pressure, and clinically relevant metrics including respiratory rate, tidal volume equivalent, peak inspiratory pressure (PIP), positive end-expiratory pressure (PEEP) and the ratio of inspiratory time to expiratory time (I:E). The device will sound alarms based on clinician-set thresholds. In bench tests using a commercial ventilator and artificial lung system, our device performs comparably to a commercial single-patient respiratory monitor. Results are presented from human-subject tests on a healthy volunteer undergoing helmet non-invasive ventilation. Detailed design and manufacturing documents are provided.
has issue date	2020-06-30(xsd:dateTime)
bibo:doi	10.1101/2020.06.29.20141283
has license	medrxiv
sha1sum (hex)	cdc7c2f17f0c4fb049e0873aac4f84f6cd9794a3
schema:url	https://doi.org/10.1101/2020.06.29.20141283
resource representing a document's title	Inexpensive multi-patient respiratory monitoring system for helmet ventilation during COVID-19 pandemic
resource representing a document's body	covid:cdc7c2f17f0c4fb049e0873aac4f84f6cd9794a3#body_text
is schema:about of	named entity 'pandemic' named entity 'non-invasive ventilation' named entity 'Princeton' named entity 'Collaboration' named entity 'ventilator' named entity 'Darcy friction factor' named entity 'medRxiv' named entity 'Sebastian Seung' named entity 'SciPy' named entity 'CC-BY-ND' named entity 'CC-BY-ND' named entity 'Philips Respironics' named entity 'heating element' named entity 'operating temperature' named entity 'CC-BY-ND' named entity 'flow measurement' named entity 'United States' named entity 'I2C' named entity 'asphyxiation' named entity 'COVID-19' named entity 'oxygen' named entity 'Python' named entity 'drilldown' named entity 'ICU' named entity 'I2C' named entity 'intubate' named entity 'non-invasive' named entity 'wireless network' named entity 'Princeton Day School' named entity 'medRxiv' named entity 'medRxiv' named entity 'differential pressure sensor' named entity 'sensor' named entity 'lookup table' named entity 'medRxiv' named entity 'informs' named entity 'peer review' named entity 'lung' named entity 'MFC' named entity 'manometer' named entity 'PWM' named entity 'CC-BY-ND' named entity 'data structure' named entity 'EEPROM' named entity 'differential pressure' named entity 'FDA' named entity 'dynamic range' named entity 'respiratory rate' named entity 'soap and water' named entity 'ventilator' named entity 'lung' named entity 'sensor' named entity 'zeroconf' named entity 'differential pressure sensor' named entity 'open-source' named entity 're-breathing' named entity 'POVM' named entity 'dynamic range' named entity 'sensor' named entity 'lung' named entity 'NIV' named entity 'ventilator' named entity 'peer review' named entity 'breathing rate' named entity 'lookup table'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software