Philip J. Aston

According to our database, Philip J. Aston authored at least 20 papers between 1994 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Uncertainty Reliability Under Domain Shift: An Investigation for Data-Driven Blood Pressure Estimation in Photoplethysmography.

Mohammad Moulaeifard, Ciaran Bench, Philip J. Aston, Nils Strodthoff

CoRR, May, 2026

Benchmark Problems and Benchmark Datasets for the evaluation of Machine and Deep Learning methods on Photoplethysmography signals: the D4 report from the QUMPHY project.

Urs Hackstein, Jordi Alastruey, Philip J. Aston, Ciaran Bench, Peter H. Charlton, Loic Coquelin, Nando Hegemann, Vaidotas Marozas, Mohammad Moulaeifard, Manasi Nandi, Andrius Petrenas, Oskar Pfeffer, Mantas Rinkevicius, Andrius Solosenko, Nils Strodthoff, Sara Vardanega

CoRR, April, 2026

Deriving Health Metrics from the Photoplethysmogram: Benchmarks and Insights from MIMIC-III-Ext-PPG.

Mohammad Moulaeifard, Philip J. Aston, Peter H. Charlton, Nils Strodthoff

CoRR, March, 2026

Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches.

Mohammad Moulaeifard, Loic Coquelin, Mantas Rinkevicius, Andrius Solosenko, Oskar Pfeffer, Ciaran Bench, Nando Hegemann, Sara Vardanega, Manasi Nandi, Jordi Alastruey, Christian Heiss, Vaidotas Marozas, Andrew Thompson, Philip J. Aston, Peter H. Charlton, Nils Strodthoff

Biomed. Signal Process. Control., 2026

2025

A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis.

Ciaran Bench, Oskar Pfeffer, Vivek Desai, Mohammad Moulaeifard, Loic Coquelin, Peter H. Charlton, Nils Strodthoff, Nando Hegemann, Philip J. Aston, Andrew Thompson

CoRR, November, 2025

Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks.

Ciaran Bench, Vivek Desai, Mohammad Moulaeifard, Nils Strodthoff, Philip J. Aston, Andrew Thompson

CoRR, May, 2025

2024

ECG Feature Importance Rankings: Cardiologists Vs. Algorithms.

Temesgen Mehari, Ashish Sundar, Alen Bosnjakovic, Peter M. Harris, Steven E. Williams, Axel Loewe, Olaf Dössel, Claudia Nagel, Nils Strodthoff, Philip J. Aston

IEEE J. Biomed. Health Informatics, April, 2024

2022

Multi-Class ECG Feature Importance Rankings: Cardiologists vs Algorithms.

Philip J. Aston, Temesgen Mehari, Alen Bosnjakovic, Peter M. Harris, Ashish Sundar, Steven E. Williams, Olaf Dössel, Axel Loewe, Claudia Nagel, Nils Strodthoff

Proceedings of the Computing in Cardiology, 2022

2021

Robustness of convolutional neural networks to physiological ECG noise.

Jenny Venton, Peter M. Harris, Ashish Sundar, Nadia A. S. Smith, Philip J. Aston

CoRR, 2021

Investigating the Robustness of Deep Learning to Electrocardiogram Noise.

Jenny Venton, Philip J. Aston

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Symmetric Projection Attractor Reconstruction: Inter-Individual Differences in the ECG.

Jane V. Lyle, Manasi Nandi, Philip J. Aston

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2019

Investigating the Response to Dofetilide with Symmetric Projection Attractor Reconstruction of the Electrocardiogram.

Jane V. Lyle, Manasi Nandi, Philip J. Aston

Proceedings of the 46th Computing in Cardiology, 2019

Deep Learning Applied to Attractor Images Derived from ECG Signals for Detection of Genetic Mutation.

Philip J. Aston, Jane V. Lyle, Esther Bonet-Luz, Christopher L. H. Huang, Yanmin Zhang, Kamalan Jeevaratnam, Manasi Nandi

Proceedings of the 46th Computing in Cardiology, 2019

2017

Beyond HRV: Analysis of ECG Signals using Attractor Reconstruction.

Jane Lyle, Peter Charlton, Esther Bonet-Luz, Gary Chaffey, Mark Christie, Manasi Nandi, Philip J. Aston

Proceedings of the Computing in Cardiology, 2017

2015

Measurement of cardiovascular state using attractor reconstruction analysis.

Peter H. Charlton, Luigi Camporota, Jaclyn Smith, Manasi Nandi, Mark Christie, Philip J. Aston, Richard Beale

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Computing the invariant measure and the Lyapunov exponent for one-dimensional maps using a measure-preserving polynomial basis.

Philip J. Aston, Oliver Junge

Math. Comput., 2014

Comparison of Attractor Reconstruction and HRV Methods for Analysing Blood Pressure Data.

Philip J. Aston, Manasi Nandi, Mark Christie, Ying H. Huang

Proceedings of the Computing in Cardiology, CinC 2014, 2014

2000

Using Control of Chaos to Refine Approximations to periodic Points.

Philip J. Aston, C. M. Bird

Int. J. Bifurc. Chaos, 2000

1996

A Conjecture Concerning an Integral Arising in Population Modelling (M. V. Bartuccelli and S. A. Gourley).

Philip J. Aston, M. V. Bartuccelli, Stephen A. Gourley

SIAM Rev., 1996

1994

Rotating Waves from Hopf Bifurcations in Equations with O(2)-Symmetry.

W. Wu, Philip J. Aston, Alastair Spence

SIAM J. Sci. Comput., 1994