A data fusion algorithm for clinically relevant anomaly detection in remote health monitoring.

Hugo de Mello Dantas Claudio Miceli de Farias

Published in: ISNCC (2020)

Keyphrases

anomaly detection
fusion algorithm
data sets
sensor data
detect anomalies
computer vision
training data
data analysis
intrusion detection
neural network
evolutionary algorithm
data mining techniques
data fusion
data mining applications
health monitoring
clinically relevant