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A distribution-based selective optimization method for eliminating periodic defects in harmonic signals

Journal article

Xin Q-Y. et al, (2023), Mechanical Systems and Signal Processing, 185, 109781 - 109781

Graph representation learning based on deep generative gaussian mixture models

Journal article

Niknam G. et al, (2023), Neurocomputing, 523, 157 - 169

COPER: Continuous Patient State Perceiver

Conference paper

Chauhan VK. et al, (2022), 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)

Spectrum Estimation of Heart Rate Variability Using Low-rank Matrix Completion

Conference paper

Lu L. et al, (2022), 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)

Prognostic model for atrial fibrillation after cardiac surgery: a UK cohort study

Journal article

Chung S-C. et al, (2022), Clinical Research in Cardiology

Omicron-associated changes in SARS-CoV-2 symptoms in the United Kingdom

Journal article

Vihta1 KD. et al, (2022), Clinical Infectious Diseases

Machine Learning-Based Risk Stratification for Gestational Diabetes Management

Journal article

Yang J. et al, (2022), Sensors, 22, 4805 - 4805

Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries.

Journal article

Ghiasi S. et al, (2022), Sensors (Basel, Switzerland), 22

Continual learning of longitudinal health records

Conference paper

Armstrong J. and Clifton DA., (2022), 2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22)

Incremental Trainable Parameter Selection in Deep Neural Networks

Journal article

Thakur A. et al, (2022), IEEE Transactions on Neural Networks and Learning Systems

Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling

Conference paper

Ceritli T. et al, (2022), 2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22)

Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression

Conference paper

Nouriborji M. et al, (2022), SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop, 1071 - 1077

vital_sqi: A Python package for physiological signal quality control.

Journal article

Le V-KD. et al, (2022), Frontiers in physiology, 13

Wearable Vital Signs Monitoring for Patients with Asthma: A Review

Journal article

Taylor L. et al, (2022), IEEE Sensors Journal, 1 - 1

Machine learning for chronic disease

Chapter

Niehaus KE. and Clifton DA., (2016), Machine Learning for Healthcare Technologies, 227 - 249

Machine learning for healthcare technologies - an introduction

Chapter

Clifton DA., (2016), Machine Learning for Healthcare Technologies, 1 - 6

Patient physiological monitoring with machine learning

Chapter

Pimentel MAF. and Clifton DA., (2016), Machine Learning for Healthcare Technologies, 111 - 125

Predicting antibiotic resistance from genomic data

Chapter

Yang Y. et al, (2016), Machine Learning for Healthcare Technologies, 203 - 226

Introduction

Journal article

Yin H. and Clifton D., (2012), International Journal of Neural Systems, 22

Telemetry-based vital sign monitoring for ambulatory hospital patients

Conference paper

Orphanidou C. et al, (2009), 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Measurement of respiratory rate from the photoplethysmogram in chest clinic patients

Journal article

Clifton D. et al, (2007), Journal of Clinical Monitoring and Computing, 21, 55 - 61

Two-dimensional tool design for two-dimensional equilibrium electrochemical machining die-sinking using a numerical method

Journal article

McClennan J. et al, (2006), Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 220, 637 - 645

An automated algorithm for determining respiratory rate by photoplethysmogram in children

Journal article

Leonard PA. et al, (2006), Acta Paediatrica, International Journal of Paediatrics, 95, 1124 - 1128

Wavelet transform reassignment and the use of low-oscillation complex wavelets

Journal article

Addison PS. et al, (2006), Mechanical Systems and Signal Processing, 20, 1429 - 1443

A fully automated algorithm for the determination of respiratory rate from the photoplethysmogram

Journal article

Leonard PA. et al, (2006), Journal of Clinical Monitoring and Computing, 20, 33 - 36

An algorithm for the detection of individual breaths from the pulse oximeter waveform

Journal article

Leonard P. et al, (2004), Journal of Clinical Monitoring and Computing, 18, 309 - 312

Wavelet-based analysis of heart-rate-dependent ECG features

Journal article

Stiles MK. et al, (2004), Annals of Noninvasive Electrocardiology, 9, 316 - 322

An integrated strategy for materials characterisation and process simulation in electrochemical machining

Conference paper

Mount AR. et al, (2003), Journal of Materials Processing Technology, 138, 449 - 454

Characterization and representation of non-ideal effects in electrochemical machining

Journal article

Clifton D. et al, (2003), Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 217, 373 - 385

The electrochemical machining characteristics of stainless steels

Journal article

Mount AR. et al, (2003), Journal of the Electrochemical Society, 150

Using wavelet transform reassignment techniques for ECG characterisation

Conference paper

Clifton D. et al, (2003), Computers in Cardiology, 30, 581 - 584

Ultrasonic measurement of the inter-electrode gap in electrochemical machining

Journal article

Clifton D. et al, (2002), International Journal of Machine Tools and Manufacture, 42, 1259 - 1267

Nutrient availability and maize growth in a soil amended with earthworm casts from a South African indigenous species

Journal article

Clifton D. et al, (2002), Bioresource Technology, 84, 197 - 201

The use of a segmented tool for the analysis of electrochemical machining

Journal article

Mount AR. et al, (2001), Journal of Applied Electrochemistry, 31, 1213 - 1220

The effects of machined workpiece surface integrity on the fatigue life of γ-titanium aluminide

Journal article

Sharman ARC. et al, (2001), International Journal of Machine Tools and Manufacture, 41, 1681 - 1685

Electrochemical machining of gamma titanium aluminide intermetallics

Journal article

Clifton D. et al, (2001), Journal of Materials Processing Technology, 108, 338 - 348

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