Raw data used to investigate the use of Wi-Fi signals to monitor human respiratory motion.
Resources
3 resources available
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DOI for Raw data used to investigate the use of Wi-Fi signals to monitor human respiratory motion
FILE -
Data from Figures
DATA ARE IN COMMA SEPARATED VARIABLE FORMAT -
README file
MICROSOFT WORD FILE
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.2022.3230003Each 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. |