Raw data used to investigate the use of Wi-Fi signals to monitor human respiratory motion.
Resources
3 resources available
-
DOI for Raw data used to investigate the use of Wi-Fi signals to monitor human respiratory motion
FILE -
Data from Figures
DATA -
README file
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[ "006:55" ] |
| contactPoint |
{ "fn": "Jason Coder", "hasEmail": "mailto:jason.coder@nist.gov" } |
| description | Raw data used to investigate the use of Wi-Fi signals to monitor human respiratory motion. Data are from an anatomically correct breathing manikin. These data have been published in "Monitoring Respiratory Motion With Wi-Fi CSI: Characterizing Performance and the BreatheSmart Algorithm," DOI: 10.1109/ACCESS.2022.3230003 Each figure from the publication is broken up into its own folder. Within each folder, the raw real/imaginary data from the Wi-Fi channel state information frames can be found. This can be used to recreate the figures from the publication, or to test different processing algorithms of interest to the user. A README file is available within the data set with additional guidance. |
| distribution |
[ { "title": "DOI for Raw data used to investigate the use of Wi-Fi signals to monitor human respiratory motion", "accessURL": "https://doi.org/10.18434/mds2-2963" }, { "title": "Data from Figures", "format": "Data are in comma separated variable format", "mediaType": "application/zip", "description": "Data for each of the figures presented in the subject publication showing the detection of respiratory motion with Wi-Fi channel state information.", "downloadURL": "https://data.nist.gov/od/ds/ark:/88434/mds2-2963/BreatheSmartv2.zip" }, { "title": "README file", "format": "Microsoft Word file", "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", "description": "File describing the data format, parameters, and file structure.", "downloadURL": "https://data.nist.gov/od/ds/mds2-2963/ReadMe%20v2.docx" } ] |
| identifier | ark:/88434/mds2-2963 |
| issued | 2023-09-27 |
| keyword |
[ "Channel state information", "LSTM", "MIMO-OFDM", "Wi-Fi", "deep learning", "respiration monitoring", "respiratory motion classification" ] |
| landingPage | https://data.nist.gov/od/id/mds2-2963 |
| language |
[ "en" ] |
| license | https://www.nist.gov/open/license |
| modified | 2023-01-13 00:00:00 |
| programCode |
[ "006:045" ] |
| publisher |
{ "name": "National Institute of Standards and Technology", "@type": "org:Organization" } |
| references |
[ "https://ieeexplore.ieee.org/document/9989347" ] |
| theme |
[ "Advanced Communications:Wireless (RF)", "Health:Clinical diagnostics" ] |
| title | Raw data used to investigate the use of Wi-Fi signals to monitor human respiratory motion. |