• search
    search
  • reviewers
    reviewers
  • feeds
    feeds
  • assignments
    assignments
  • settings
  • logout

Photoplethysmography-Based Blood Pressure Estimation Using Deep Learning.

Weinan WangLi ZhuFatemeh MarefatPedram MohseniKevin L. KilgoreLaleh Najafizadeh
Published in: ACSSC (2020)
Keyphrases
  • deep learning
  • blood pressure
  • heart rate
  • unsupervised learning
  • unsupervised feature learning
  • machine learning
  • risk factors
  • weakly supervised
  • deep architectures
  • blood glucose
  • multiscale
  • mental models