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Photoplethysmography (PPG) is the leading technology behind wearables, significantly hindered by PPG's suscep- tibility to motion artifacts (MAs).
Reconstruction of Corrupted Photoplethysmography. Signals to Facilitate Continuous Monitoring ... Corrupted signal is then reconstructed based on morphology ...
This study proposed a measurement platform for continuous blood pressure estimation based on dual photoplethysmography (PPG) sensors and a deep learning (DL) ...
We propose a recursive generative adversarial network (GAN) model that reconstructs corrupted PPG signals across a wide range of signal-to-noise ratios (SNRs) ...
This work introduces a novel method able to reconstruct noisy PPGs and facilitate uninterrupted health monitoring. The algorithm starts with spectral-based MA ...
Reconstruction of Corrupted Photoplethysmography Signals to Facilitate Continuous Monitoring / Vraka, Aikaterini; M. Gracia-Baena, Juan; Ravelli, Flavia ...
Reconstruction of Corrupted Photoplethysmography Signals to Facilitate Continuous Monitoring ; ISSN · 2325-887X, ; ISBN · 9798350382525 ; Any de publicació · 2023.
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Jul 7, 2023 · This work presents a machine learning approach to reconstruct the user's HR signal using an own monitoring wristband especially developed for people with ASD.
Aug 1, 2024 · We develop an algorithm for denoising PPG signals that reconstructs the corrupted parts of the signal, while preserving the clean parts of the PPG signal.
A periodic split attractor reconstruction method facilitates cardiovascular signal diagnoses and obstructive sleep apnea syndrome monitoring. 2024, Heliyon.