Unsupervised Detection of Apnea Using Commodity RFID Tags With a Recurrent Variational Autoencoder.

Chao Yang Xuyu Wang Shiwen Mao

Published in: IEEE Access (2019)

Keyphrases

rfid tags
radio frequency identification
obstructive sleep apnea
rfid technology
rfid systems
low cost
unsupervised learning
feed forward
real time
neural network
sleep apnea
decision making
anomaly detection
lightweight
smart card
public key