Rotating Waves from Hopf Bifurcations in Equations with O(2)-Symmetry. - W. Wu; Philip J. Aston; Alastair Spence (SIAM J. Sci. Comput., 1994)

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)

Using Control of Chaos to Refine Approximations to periodic Points. - Philip J. Aston; C. M. Bird (Int. J. Bifurc. Chaos, 2000)

Comparison of Attractor Reconstruction and HRV Methods for Analysing Blood Pressure Data. - Philip J. Aston; Manasi Nandi; Mark Christie; Ying H. Huang (CinC, 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)

Measurement of cardiovascular state using attractor reconstruction analysis. - Peter H. Charlton; Luigi Camporota; Jaclyn Smith; Manasi Nandi; Mark Christie; Philip J. Aston; Richard Beale (EUSIPCO, 2015)

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 (CinC, 2017)

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 (CinC, 2019)

Investigating the Response to Dofetilide with Symmetric Projection Attractor Reconstruction of the Electrocardiogram. - Jane V. Lyle; Manasi Nandi; Philip J. Aston (CinC, 2019)

Symmetric Projection Attractor Reconstruction: Inter-Individual Differences in the ECG. - Jane V. Lyle; Manasi Nandi; Philip J. Aston (CinC, 2021)

Investigating the Robustness of Deep Learning to Electrocardiogram Noise. - Jenny Venton; Philip J. Aston (CinC, 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)

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 (CinC, 2022)

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, 2024)

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; et al. (CoRR, 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 014 (CoRR, 2025)