A robust neural network for privacy-preserving heart rate estimation in remote healthcare systems
In this study, we propose a computationally-light and robust neural network for estimating heart rate in remote healthcare systems. We develop a model that can be trained on consumer-grade graphics processing units (GPUs), and can be deployed on edge devices for swift inference. We propose a hybrid...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-06-01
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Series: | Healthcare Analytics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772442524000315 |