no code implementations • 6 Dec 2022 • Konstantinos Ntagiantas, Eduardo Pignatelli, Nicholas S. Peters, Chris D. Cantwell, Rasheda A. Chowdhury, Anil A. Bharath
We adapt a wavelet-based surrogate testing analysis to confirm that the inferred conductivity distribution is an accurate representation of the ground truth input to the model.
no code implementations • 7 Jun 2020 • Harry J. Davies, Ian Williams, Nicholas S. Peters, Danilo P. Mandic
In this study, we set out to establish the feasibility of SpO2 measurement from the ear canal as a convenient site for long term monitoring, and perform a comprehensive comparison with the right index finger - the conventional clinical measurement site.
no code implementations • 5 Aug 2019 • Alberto Ciacci, Max Falkenberg, Kishan A. Manani, Tim S. Evans, Nicholas S. Peters, Kim Christensen
Atrial fibrillation (AF) is the most common cardiac arrhytmia, characterised by the chaotic motion of electrical wavefronts in the atria.
1 code implementation • 29 Oct 2018 • Max Falkenberg, Andrew J. Ford, Anthony C. Li, Alberto Ciacci, Nicholas S. Peters, Kim Christensen
The mechanism of atrial fibrillation (AF) is poorly understood, resulting in disappointing success rates of ablative treatment.
no code implementations • 9 Oct 2018 • Chris D. Cantwell, Yumnah Mohamied, Konstantinos N. Tzortzis, Stef Garasto, Charles Houston, Rasheda A. Chowdhury, Fu Siong Ng, Anil A. Bharath, Nicholas S. Peters
We review some of the latest approaches to analysing cardiac electrophysiology data using machine learning and predictive modelling.