Vehicle communication system and method P Doggart, M Reed, K Loveday US Patent 10,609,528, 2020 | 13 | 2020 |
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 | 6 | 2014 |
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 | 4 | 2022 |
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 | 3 | 2019 |
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 | 1 | 2023 |
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 | 1 | 2022 |
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 |