This POVM_Readme.txt file was generated on 2021-11-15. GENERAL INFORMATION 1. Title of Dataset: Princeton Open Ventilation Monitor Abstract: The detailed information on the design and construction of the Princeton Open Ventilation Monitor device and software are contained in this data repository. This information consists of the electrical design files, mechanical design files, bill of materials, human subject recording and analysis code, and a copy of the code repository for operating the patient monitors and central station. 2. Author Information The Princeton Open Ventilation Monitor Collaboration Princeton University Princeton, New Jersey, 08544 Philippe Bourrianne Department of Mechanical and Aerospace Engineering Princeton University Princeton, New Jersey, 08544 Stanley Chidzik Department of Physics Princeton University Princeton, New Jersey, 08544 Daniel Cohen Department of Mechanical and Aerospace Engineering Princeton University Princeton, New Jersey, 08544 Peter Elmer Department of Physics Princeton University Princeton, New Jersey, 08544 Thomas Hallowell Department of Anesthesiology and Critical Care Medicine Children's Hospital of Philadelphia Philadelphia, Pennsylvania, 19104 Todd J. Kilbaugh Department of Anesthesiology and Critical Care Medicine Children's Hospital of Philadelphia Philadelphia, Pennsylvania, 19104 David Lange Department of Physics Princeton University Princeton, New Jersey, 08544 Andrew M. Leifer Princeton Neuroscience Institute and Department of Physics Princeton University Princeton, New Jersey, 08544 Email: leifer@princeton.edu Daniel R. Marlow Department of Physics Princeton University Princeton, New Jersey, 08544 Peter D. Meyers Department of Physics Princeton University Princeton, New Jersey, 08544 Edna Normand Princeton Neuroscience Institute and Department of Molecular Biology Princeton University] Princeton, New Jersey, 08544; and Rutgers Robert Wood Johnson New Brunswick, New Jersey, 08901 Janine Nunes Department of Mechanical and Aerospace Engineering Princeton University Princeton, New Jersey, 08544 Myungchul Oh Department of Physics Princeton University Princeton, New Jersey, 08544 Lyman Page Department of Physics Princeton University Princeton, New Jersey, 08544 Talmo Periera Princeton Neuroscience Institute Princeton University Princeton, New Jersey, 08544 Jim Pivarski Department of Physics Princeton University Princeton, New Jersey, 08544 Henry Schreiner Princeton Institute for Computational Science and Engineering Princeton University Princeton, New Jersey, 08544 Howard A. Stone Department of Mechanical and Aerospace Engineering Princeton University Princeton, New Jersey, 08544 David W. Tank Princeton Neuroscience Institute Princeton University Princeton, New Jersey, 08544 Stephan Thiberge Princeton Neuroscience Institute Princeton University Princeton, New Jersey, 08544 Christopher Tully Department of Physics Princeton University Princeton, New Jersey, 08544 3. Date of data collection (single date, range, approximate date): 2020-04-15 through 2021-11-15 4. Geographic location of data collection: Princeton University Princeton, NJ 08544 USA 5. Information about funding sources that supported the collection of the data: This project is supported by Princeton University, including generous support by the Provost's Office, and by National Science Foundation grants OAC-1836650, PHY-2031509 and IOS-1845137. SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: Copyright 2021 Princeton University Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. 2. Links to publications that cite or use the data: Forthcoming paper in ASME Journal on Medical Devices with the same author list, entitled "Inexpensive multi-patient respiratory monitoring system for helmet ventilation during COVID-19 pandemic". 3. Links to other publicly accessible locations of the data: The GitHub software is available here: https://github.com/Princeton-Penn-Vents/princeton-penn-flowmeter 4. Links/relationships to ancillary data sets: None. 5. Was data derived from another source? Tagged (version 0.8.1) copy of GitHub software is included. 6. Recommended citation for this dataset: https://doi.org/10.34770/vc16-yr54 DATA & FILE OVERVIEW 1. File List: SuppDesignFilesElectrical.zip Electrical design files. A zip file, SuppDesignFilesElectrical.zip (568 kB), containing electronic schematics, board layout, PCB design file, part placement and loading figures and GERBER fabrication files. SuppDesignFilesMechanical.zip Mechanical design files. A zip file, SuppDesignFilesMechanical.zip (2 3 MB), containing computer aided design files for laser cutting, 3D printing and CNC machining the interface box enclosure, flow-sensor assembly cap, flow element and CO2 sensor block. BillOfMaterials.xlsx Detailed Bill of Materials. Spreadsheet in Excel format, BillOfMaterials.xlsx (22 kB), containing detailed pricing and part numbers for all components. HumanSubjectTestDataAndAnalysis.zip Human subject recording. HumanSubjectTestDataAndAnalysis.zip (18 9 MB) Recording of a healthy human subject volunteer breathing normally in a helmet. Analysis code is provided to separately access the data from the auxiliary and expiratory paths in the case of the proximal sensor configuration, and to access the expiratory path for the human subject breathing from within the helmet. The compressed zip file contains two sets of files within it: the first, device_raw_waveforms_expiratory.json and device_raw_waveforms_auxport.json, are the data streams recorded from the Princeton Open Ventilator Monitor in JSON format that includes raw sensor readings. The second, calibrated_waveforms_expiratory.json.csv and calibrated_waveforms_auxport.json.csv, are the corresponding CSV files that contain recorded pressure, flow and volume over time in calibrated units. The CSV file contains two volumes corresponding to the more- or less-aggressively high-passed filtered volumes discussed in the text. Note the baseline of the volume data have undefined offsets due to the persistent flow through the helmet. Example Jupyter notebook analysis files are included with the data. The analysis codes provide the time markers for the start and stop of multiple periods of data-taking, including two stable breathing periods with the human subject within the helmet, three external breathing configurations with three different flow rates, and a null data setup with data taken for an empty helmet and a constant flow. Examples of how the respiratory rates are computed and the extraction of per breath quantities are also included in the code. The analysis codes read the flow calibration file flowcalib_ave200619.yml. princeton-penn-flowmeter-0.8.1.zip Code repository. The software for operating the interface box, the patient loop and the multi-patient remote monitoring station is available online at: https://github.com/Princeton-Penn-Vents/princeton-penn-flowmeter. A zip file, princeton-penn-flowmeter-0.8.1.zip (249 kB), contains a tagged version (v0 8 1) of the software repository. 2. Relationship between files, if important: Refer to paper. 3. Additional related data collected that was not included in the current data package: Contact authors. 4. Are there multiple versions of the dataset? None. Newer versions of the GitHub code can be accessed through the above GitHub link. METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: Forthcoming paper in ASME Journal on Medical Devices with the same author list, entitled "Inexpensive multi-patient respiratory monitoring system for helmet ventilation during COVID-19 pandemic". 2. Methods for processing the data: Refer to paper. 3. Instrument- or software-specific information needed to interpret the data: Refer to paper. 4. Standards and calibration information, if appropriate: Refer to paper. 5. Environmental/experimental conditions: Refer to paper. 6. Describe any quality-assurance procedures performed on the data: Refer to paper. 7. People involved with sample collection, processing, analysis and/or submission: See author list. DATA-SPECIFIC INFORMATION FOR: Jupyter Notebook with Analysis Code and Variable Explanations included.