MAE-Based Self-Supervised Pretraining Algorithm for Heart Rate Estimation of Radar Signals

MAE-Based Self-Supervised Pretraining Algorithm for Heart Rate Estimation of Radar Signals

Noncontact heart rate monitoring techniques based on millimeter-wave radar have advantages in unique medical scenarios. However, the accuracy of the existing noncontact heart rate estimation methods is still limited by interference, such as DC offsets, respiratory harmonics, and environmental noise....

Full description

Bibliographic Details
Main Authors: Yashan Xiang, Jian Guo, Ming Chen, Zheyu Wang, Chong Han
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
FMCW radar
heart rate estimation
self-supervised pretraining
transfer learning
masked autoencoders
vision transformer
Online Access:https://www.mdpi.com/1424-8220/23/18/7869

Internet

https://www.mdpi.com/1424-8220/23/18/7869

Similar Items