PPG-based blood pressure estimation can benefit from scalable multi-scale fusion neural networks and multi-task learning.
Qihan HuDaomiao WangCuiwei YangPublished in: Biomed. Signal Process. Control. (2022)
Keyphrases
- blood pressure
- multi task learning
- heart rate
- neural network
- multiscale
- multi task
- learning tasks
- multiple tasks
- risk factors
- learning problems
- gaussian processes
- multitask learning
- theoretical analysis
- high order
- transfer learning
- learning models
- learning algorithm
- blood glucose
- parameter estimation
- expert systems
- risk management
- correlation coefficient