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BiFormer: An End-to-End Deep Learning Approach for Enhanced Image-Based Photoplethysmography and Heart Rate Accuracy.
Shaohua Liu
Yuchong Yang
Xingjian Jing
Bin Li
Hao Liu
Shangwei Zhu
Chundong She
Published in:
CECNet (2023)
Keyphrases
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end to end
deep learning
heart rate
blood pressure
unsupervised learning
machine learning
unsupervised feature learning
heart rate variability
physiological signals
physical activity
mental models
window size
congestion control
decision making
computational complexity
supervised learning