David D. McManus

Orcid: 0000-0002-9343-6203

According to our database1, David D. McManus authored at least 33 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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On csauthors.net:

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

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
Atrial Fibrillation Detection During Sepsis: Study on MIMIC III ICU Data.
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

VERB: VFCDM-Based Electrocardiogram Reconstruction and Beat Detection Algorithm.
IEEE Access, 2019

Noise Detection in Electrocardiogram Signals for Intensive Care Unit Patients.
IEEE Access, 2019

Smartwatch PPG Peak Detection Method for Sinus Rhythm and Cardiac Arrhythmia.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Smartwatch Based Atrial Fibrillation Detection from Photoplethysmography Signals.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Atrial Fibrillation Detection in ICU Patients: A Pilot Study on MIMIC III Data.
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
Arrhythmia Discrimination Using a Smart Phone.
IEEE J. Biomed. Health Informatics, 2015

2014
Corrections to "Atrial Fibrillation Detection Using an iPhone 4S".
IEEE Trans. Biomed. Eng., 2014

2013
Atrial Fibrillation Detection Using an iPhone 4S.
IEEE Trans. Biomed. Eng., 2013

Time-Varying Coherence Function for Atrial Fibrillation Detection.
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

Arrhythmia discrimination using a smart phone.
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

Atrial fibrillation detection using a smart phone.
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


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