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

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 2; p. 804
• Main Authors: Mauro, Gianfranco, De Carlos Diez, Maria, Ott, Julius, Servadei, Lorenzo, Cuellar, Manuel P., Morales-Santos, Diego P.
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 10.01.2023; MDPI
• Subjects: 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

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...