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Arxiv
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EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation
- EnhancePPG is a method that improves heart rate estimation from photoplethysmography (PPG) signals.
- It integrates self-supervised learning with data augmentation to enhance the performance of deep learning models.
- By utilizing unsupervised PPG signal reconstruction and data augmentation, the approach improves the best HR estimation by 12.2%.
- The method focuses on training the deep learning model without significantly increasing its inference latency.
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