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A Robust Motion Artifact Detection Algorithm for Accurate Detection of Heart Rates From Photoplethysmographic Signals Using Time-Frequency Spectral Features.

, , , , , , , , and . IEEE J. Biomed. Health Informatics, 21 (5): 1242-1253 (2017)

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Atrial Fibrillation Detection in ICU Patients: A Pilot Study on MIMIC III Data., , , , , , , and . EMBC, page 298-301. IEEE, (2019)Motion and Noise Artifact-Resilient Atrial Fibrillation Detection Using a Smartphone., , , , , and . CHASE, page 366-369. IEEE Computer Society, (2016)Corrections to Ätrial Fibrillation Detection Using an iPhone 4S"., , , , and . IEEE Trans. Biomed. Eng., 61 (6): 1914 (2014)Technology engagement is associated with higher perceived physical well-being in stroke patients prescribed smartwatches for atrial fibrillation detection., , , , , , , , , and 12 other author(s). Frontiers Digit. Health, (March 2023)Noise Reduction in Photoplethysmography Signals Using a Convolutional Denoising Autoencoder With Unconventional Training Scheme., , , , , , , , , and 5 other author(s). IEEE Trans. Biomed. Eng., 71 (2): 456-466 (February 2024)Arrhythmia Discrimination Using a Smart Phone., , , and . IEEE J. Biomed. Health Informatics, 19 (3): 815-824 (2015)Premature Atrial and Ventricular Contraction Detection Using Photoplethysmographic Data from a Smartwatch., , , , , , and . Sensors, 20 (19): 5683 (2020)Atrial flutter and atrial tachycardia detection using Bayesian approach with high resolution time-frequency spectrum from ECG recordings., , , , and . Biomed. Signal Process. Control., 8 (6): 992-999 (2013)Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder., , , , , , , , , and 5 other author(s). Expert Syst. Appl., 237 (Part C): 121611 (March 2024)Motion and Noise Artifact-Resilient Atrial Fibrillation Detection Using a Smartphone., , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (2): 230-239 (2018)