Nicholas S. Peters

Orcid: 0000-0002-3581-8078

According to our database1, Nicholas S. Peters authored at least 37 papers between 2010 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease.
npj Digit. Medicine, 2024

From ether to ethernet: ensuring ethical policy in digital transformation of waitlist triage for cardiovascular procedures.
npj Digit. Medicine, 2024

In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders.
CoRR, 2024

Estimation of fibre architecture and scar in myocardial tissue using electrograms: An in-silico study.
Biomed. Signal Process. Control., 2024

2023
Correlation relationships of the reentrant ventricular tachycardia circuit.
Comput. Methods Programs Biomed., November, 2023

2022
Wearable In-Ear PPG: Detailed Respiratory Variations Enable Classification of COPD.
IEEE Trans. Biomed. Eng., 2022

Estimating Cardiac Tissue Conductivity from Electrograms with Fully Convolutional Networks.
CoRR, 2022

Electrogram-based Estimation of Myocardial Conduction Using Deep Neural Networks.
Proceedings of the Computing in Cardiology, 2022

The Effects of Electrode Configuration on Omnipolar Electrograms: An In-Silico Approach.
Proceedings of the Computing in Cardiology, 2022

2020
In-Ear SpO2: A Tool for Wearable, Unobtrusive Monitoring of Core Blood Oxygen Saturation.
Sensors, 2020

Belief of having had unconfirmed Covid-19 infection reduces willingness to participate in app-based contact tracing.
npj Digit. Medicine, 2020

Slow uniform electrical activation during sinus rhythm is an indicator of reentrant VT isthmus location and orientation in an experimental model of myocardial infarction.
Comput. Methods Programs Biomed., 2020

Interpretable XGBoost Based Classification of 12-lead ECGs Applying Information Theory Measures From Neuroscience.
Proceedings of the Computing in Cardiology, 2020

2019
Addressing challenges of quantitative methodologies and event interpretation in the study of atrial fibrillation.
Comput. Methods Programs Biomed., 2019

Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling.
Comput. Biol. Medicine, 2019

Classification of Fibrillation Subtypes with Single-Channel Surface Electrocardiogram.
Proceedings of the Advances in Computational Intelligence Systems, 2019

Identifying Potential Re-Entrant Circuit Locations From Atrial Fibre Maps.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Analytical approaches for myocardial fibrillation signals.
Comput. Biol. Medicine, 2018

Use of an automaton model to suggest methods for cessation of intractable fibrillatory activity.
Comput. Biol. Medicine, 2018

Effects of refractory gradients and ablation on fibrillatory activity.
Comput. Biol. Medicine, 2018

2017
Development of an automaton model of rotational activity driving atrial fibrillation.
Comput. Biol. Medicine, 2017

Injection moulded microneedle sensor for real-time wireless pH monitoring.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Formation of reentrant circuits in the mid-myocardial infarct border zone.
Comput. Biol. Medicine, 2016

2015
Right ventricle segmentation from cardiac MRI: A collation study.
Medical Image Anal., 2015

Reprint of 'Model of unidirectional block formation leading to reentrant ventricular tachycardia in the infarct border zone of postinfarction canine hearts'.
Comput. Biol. Medicine, 2015

Model of unidirectional block formation leading to reentrant ventricular tachycardia in the infarct border zone of postinfarction canine hearts.
Comput. Biol. Medicine, 2015

Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping.
Comput. Biol. Medicine, 2015

A technique for visualising three-dimensional left atrial cardiac activation data in two dimensions with minimal distance distortion.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Automated fiducial point selection for reducing registration error in the co-localisation of left atrium electroanatomic and imaging data.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Influence of Left Atrial Geometry on Rotor Core Trajectories in a Model of Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2015

2014
High-order spectral/hp element discretisation for reaction-diffusion problems on surfaces: Application to cardiac electrophysiology.
J. Comput. Phys., 2014

An automated algorithm for determining conduction velocity, wavefront direction and origin of focal cardiac arrhythmias using a multipolar catheter.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A software platform for the comparative analysis of electroanatomic and imaging data including conduction velocity mapping.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A Novel Method for Rotor Tracking using Bipolar Electrogram Phase.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

A Novel Method for Quantifying Localised Correlation of Late-Gadolinium Intensity with Conduction Velocity.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images.
IEEE Trans. Medical Imaging, 2013

2010
Automatic Segmentation of Left Atrial Geometry from Contrast-Enhanced Magnetic Resonance Images Using a Probabilistic Atlas.
Proceedings of the Statistical Atlases and Computational Models of the Heart, 2010


  Loading...