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Peter Doggart
Peter Doggart
PulseAI
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Title
Cited by
Cited by
Year
Vehicle communication system and method
P Doggart, M Reed, K Loveday
US Patent 10,609,528, 2020
132020
Optimisation of the material properties of indium tin oxide layers for use in organic photovoltaics
P Doggart, N Bristow, J Kettle
Journal of Applied Physics 116 (10), 2014
62014
Device agnostic AI-based analysis of ambulatory ECG recordings
A Kennedy, P Doggart, SW Smith, D Finlay, D Guldenring, R Bond, ...
Journal of Electrocardiology 74, 154-157, 2022
42022
Randomly under sampled boosted tree for predicting sepsis from intensive care unit databases
P Doggart, M Rutherford
2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019
32019
A two-staged classifier to reduce false positives: on device detection of atrial fibrillation using phase-based distribution of Poincaré plots and deep learning
P Doggart, A Kennedy, R Bond, D Finlay, SW Smith
Journal of Electrocardiology 76, 17-21, 2023
12023
Automated Identification of Label Errors in Large Electrocardiogram Datasets
P Doggart, A Kennedy, E Foreman, D Finlay, R Bond
2022 Computing in Cardiology (CinC) 498, 1-4, 2022
12022
Reducing the burden of inconclusive smart device single-lead ECG tracings via a novel artificial intelligence algorithm
S Weidlich, D Mannhart, A Kennedy, P Doggart, T Serban, S Knecht, ...
Cardiovascular Digital Health Journal 5 (1), 29-35, 2024
2024
Clinical Validation of a Chest-Worn Personal ECG Device for the Detection of Atrial Fibrillation
S Reddy, A Kennedy, K Vidyasagar, P Doggart, P Joseph, RC Funston, ...
Circulation 148 (Suppl_1), A16707-A16707, 2023
2023
Reducing the burden of inconclusive smart-device single-lead ECG tracings via a novel atificial intelligence algorithm
S Weidlich, D Mannhart, A Kennedy, P Doggart, T Serban, S Knecht, ...
European Heart Journal 44 (Supplement_2), ehad655. 2922, 2023
2023
Identifying Noisy ECG Signals in Large Datasets Using a Temporal Convolutional Neural Network Trained to Estimate Pseudo-SNR
P Doggart, A Kennedy, D Guldenring, R Bond, D Finlay
2023 Computing in Cardiology (CinC) 50, 1-4, 2023
2023
Influence of the Training Set Composition on the Estimation Performance of Linear ECG-Lead Transformations
D Guldenring, DD Finlay, RR Bond, A Kennedy, P Doggart, G Janjua, ...
2023 Computing in Cardiology (CinC) 50, 1-4, 2023
2023
Comparison of reduced lead sets in detection of common ECG abnormalities
P Doggart, A Kennedy, D Finlay, R Bond, S Smith
Journal of Electrocardiology 78, 20, 2023
2023
PO-04-182 NOVEL AI ALGORITHM IMPROVES THE AUTOMATED DETECTION OF ATRIAL ARRHYTHMIAS FROM THE APPLE WATCH
D Burke, J Carey, P Doggart, A Kennedy
Heart Rhythm 20 (5), S613-S614, 2023
2023
Influence of the Training Set Size on the Subject-to-Subject Variability of the Estimation Performance of Linear ECG-Lead Transformations
D Guldenring, A Rababah, DD Finlay, RR Bond, A Kennedy, P Doggart, ...
2022 Computing in Cardiology (CinC) 498, 1-4, 2022
2022
Session 3: Selected abstracts 1On device detection of Atrial Fibrillation using the phase-based distribution of Poincaré Plots and deep learning
P Doggart, A Kennedy
Journal of Electrocardiology 73, 4, 2022
2022
Automated Measurement of the Heart-Rate Corrected QT-Interval using Deep Learning.
A Kennedy, P Doggart, SW Smith, HP Meyers, D Finlay, D Guldenring, ...
Journal of Electrocardiology 73, 15-16, 2022
2022
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