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Explainability Metrics of Deep Convolutional Networks for Photoplethysmography Quality Assessment., , , , , , , , and . IEEE Access, (2021)Photoplethysmography based atrial fibrillation detection: a review., , , , , , , , and . npj Digit. Medicine, (2020)Cardiovascular risk analysis by means of pulse morphology and clustering methodologies., , , , , , and . Comput. Methods Programs Biomed., 117 (2): 257-266 (2014)Universal Access to eCall System., , , , and . DSAI, volume 27 of Procedia Computer Science, page 104-112. Elsevier, (2013)Exploring iconographic interface in emergency for deaf., , , and . ASSETS, page 245-246. ACM, (2011)Synthesizing 3D Lung CT scans with Generative Adversarial Networks., , , , , , and . EMBC, page 2033-2036. IEEE, (2022)Lung CT image synthesis using GANs., , , , , , , , , and 5 other author(s). Expert Syst. Appl., (April 2023)Which wavelength is the best for arterial pulse waveform extraction using laser speckle imaging?, , , , , and . Biomed. Signal Process. Control., (2016)Impact of Label Noise on the Learning Based Models for a Binary Classification of Physiological Signal., , , , and . Sensors, 22 (19): 7166 (2022)AI-based Models to Predict the Heart Rate Using PPG and Accelerometer Signals During Physical Exercise., , , and . BIBM, page 4398-4403. IEEE, (2023)