Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks. (arXiv:2201.09976v1 [cs.LG])

Web: http://arxiv.org/abs/2201.09976

Continuous monitoring of blood pressure (BP)can help individuals manage their
chronic diseases such as hypertension, requiring non-invasive measurement
methods in free-living conditions. Recent approaches fuse Photoplethysmograph
(PPG) and electrocardiographic (ECG) signals using different machine and deep
learning approaches to non-invasively estimate BP; however, they fail to
reconstruct the complete signal, leading to less accurate models. In this
paper, we propose a cycle generative adversarial network (CycleGAN) based
approach to extract a BP signal known as ambulatory blood pressure (ABP) from …

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