David D. McManus
Orcid: 0000-0002-9343-6203
According to our database1,
David D. McManus
authored at least 34 papers
between 2011 and 2024.
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Bibliography
2024
Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder.
Expert Syst. Appl., March, 2024
Noise Reduction in Photoplethysmography Signals Using a Convolutional Denoising Autoencoder With Unconventional Training Scheme.
IEEE Trans. Biomed. Eng., February, 2024
Multiclass Arrhythmia Classification using Smartwatch Photoplethysmography Signals Collected in Real-life Settings.
CoRR, 2024
2023
Technology engagement is associated with higher perceived physical well-being in stroke patients prescribed smartwatches for atrial fibrillation detection.
Frontiers Digit. Health, March, 2023
Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedance.
Artif. Intell. Medicine, 2023
2022
Optimized Signal Quality Assessment for Photoplethysmogram Signals Using Feature Selection.
IEEE Trans. Biomed. Eng., 2022
Factors associated with long-term use of digital devices in the electronic Framingham Heart Study.
npj Digit. Medicine, 2022
2021
Novel Density Poincaré Plot Based Machine Learning Method to Detect Atrial Fibrillation From Premature Atrial/Ventricular Contractions.
IEEE Trans. Biomed. Eng., 2021
2020
IEEE J. Biomed. Health Informatics, 2020
Premature Atrial and Ventricular Contraction Detection Using Photoplethysmographic Data from a Smartwatch.
Sensors, 2020
Digital Image Processing Features of Smartwatch Photoplethysmography for Cardiac Arrhythmia Detection.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Preliminary Results on Density Poincare Plot Based Atrial Fibrillation Detection from Premature Atrial/Ventricular Contractions<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
An Accurate QRS Complex and P Wave Detection in ECG Signals Using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Approach.
IEEE Access, 2019
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Motion and Noise Artifact-Resilient Atrial Fibrillation Detection Using a Smartphone.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018
A Novel Personalized Motion and Noise Artifact (MNA) Detection Method for Smartphone Photoplethysmograph (PPG) Signals.
IEEE Access, 2018
Developing a novel noise artifact detection algorithm for smartphone PPG signals: Preliminary results.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
A Robust Motion Artifact Detection Algorithm for Accurate Detection of Heart Rates From Photoplethysmographic Signals Using Time-Frequency Spectral Features.
IEEE J. Biomed. Health Informatics, 2017
Impressions of Older Patients with Cardiovascular Diseases to Smart Devices for Heart Rhythm Monitoring.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017
2016
Motion and Noise Artifact-Resilient Atrial Fibrillation Detection Using a Smartphone.
Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016
Motion and noise artifact-resilient atrial fibrillation detection algorithm for a smartphone.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2015
IEEE J. Biomed. Health Informatics, 2015
2014
IEEE Trans. Biomed. Eng., 2014
2013
IEEE Trans. Biomed. Eng., 2013
Atrial flutter and atrial tachycardia detection using Bayesian approach with high resolution time-frequency spectrum from ECG recordings.
Biomed. Signal Process. Control., 2013
Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013
2012
Automatic Motion and Noise Artifact Detection in Holter ECG Data Using Empirical Mode Decomposition and Statistical Approaches.
IEEE Trans. Biomed. Eng., 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Atrial Fibrillation detection using time-varying coherence function and Shannon Entropy.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011