A survey of remote cardiovascular monitoring concludes that the field needs longitudinal sensors, continuous modeling, and personalized interpretable machine learning.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders
A survey of remote cardiovascular monitoring concludes that the field needs longitudinal sensors, continuous modeling, and personalized interpretable machine learning.