Few-Shot User-Adaptable Radar-Based Breath Signal Sensing

Vital signs estimation provides valuable information about an individual’s overall health status. Gathering such information usually requires wearable devices or privacy-invasive settings. In this work, we propose a radar-based user-adaptable solution for respiratory signal prediction while sitting...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 23; H. 2; S. 804
Hauptverfasser:	Mauro, Gianfranco, De Carlos Diez, Maria, Ott, Julius, Servadei, Lorenzo, Cuellar, Manuel P., Morales-Santos, Diego P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 10.01.2023 MDPI
Schlagworte:	Algorithms artificial neural networks Corruption FMCW Heart Rate Humans meta-learning Monitoring, Physiologic - methods Privacy Radar Respiration respiration signal Respiratory Rate Sensors Signal Processing, Computer-Assisted vital sign sensing Vital Signs artificial neural networks radar signal processing meta-learning respiration signal vital sign sensing FMCW variational autoencoder autocorrelation few-shot learning
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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