Latent Temporal Flows for Multivariate Analysis of Wearables Data. (arXiv:2210.07475v1 [cs.LG])

Increased use of sensor signals from wearable devices as rich sources of
physiological data has sparked growing interest in developing health monitoring
systems to identify changes in an individual's health profile. Indeed, machine
learning models for sensor signals have enabled a diverse range of healthcare
related applications including early detection of abnormalities, fertility
tracking, and adverse drug effect prediction. However, these models can fail to
account for the dependent high-dimensional nature of the underlying sensor
signals. In this paper, we …

analysis arxiv data temporal wearables