2024
DOI: 10.3390/electronics13081599
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Using Data Augmentation to Improve the Accuracy of Blood Pressure Measurement Based on Photoplethysmography

Hanlin Mou,
Congjian Li,
Haoran Zhou
et al.

Abstract: Convenient and accurate blood pressure (BP) measurement is of great importance in both clinical and daily life. Although deep learning (DL) can achieve cuff-less BP measurement based on Photoplethysmography (PPG), the performance of DL is affected by few-shot data. Data augmentation becomes an effective way to enhance the size of the training data. In this paper, we use cropping, flipping, DTW barycentric averaging (DBA), generative adversarial network (GAN) and variational auto-encoder (VAE) for the data augm… Show more

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