3D DenseNet with temporal transition layer for heart rate estimation from real-life RGB videos.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date:

Abstract

BACKGROUND: Deep learning has demonstrated superior performance over traditional methods for the estimation of heart rates in controlled contexts. However, in less controlled scenarios this performance seems to vary based on the training dataset and the architecture of the deep learning models.

Authors

  • Mohammad Khaleel Sallam Ma'aitah
  • Abdulkader Helwan
    Lebanese American University, School of Engineering, Department of ECE, Byblos, Lebanon.