Novelty Detection for Identifying Deterioration in Emergency Department Patients. - David A. Clifton; David Wong 001; Susannah Fleming; Sarah J. Wilson; Rob Way; Richard Pullinger; Lionel Tarassenko (IDEAL, 2011)

Probabilistic detection of vital sign abnormality with Gaussian process regression. - David Wong 001; David A. Clifton; Lionel Tarassenko (BIBE, 2012)

An Extreme Function Theory for Novelty Detection. - David A. Clifton; Lei A. Clifton; Samuel Hugueny; David Wong 001; Lionel Tarassenko (IEEE J. Sel. Top. Signal Process., 2013)

A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department. - David A. Clifton; David Wong 001; Lei A. Clifton; Sarah J. Wilson; Rob Way; Richard Pullinger; Lionel Tarassenko (IEEE J. Biomed. Health Informatics, 2013)

SEND: a system for electronic notification and documentation of vital sign observations. - David Wong 001; Timothy Bonnici; Julia Knight; Lauren Morgan; Paul Coombes; Peter J. Watkinson (BMC Medical Informatics Decis. Mak., 2015)

Evaluation of the effects of implementing an electronic early warning score system: protocol for a stepped wedge study. - Timothy Bonnici; Stephen Gerry; David Wong 001; Julia Knight; Peter J. Watkinson (BMC Medical Informatics Decis. Mak., 2016)

Machine Learning Models for Multidimensional Clinical Data. - Christina Orphanidou; David Wong 001 (Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017)

Quantitative metrics for evaluating the phased roll-out of clinical information systems. - David Wong 001; Nicolas Wu; Peter J. Watkinson (Int. J. Medical Informatics, 2017)

A ward-based time study of paper and electronic documentation for recording vital sign observations. - David Wong 001; Timothy Bonnici; Julia Knight; Stephen Gerry; James Turton; Peter J. Watkinson (J. Am. Medical Informatics Assoc., 2017)

Supervised Classification of Bradykinesia for Parkinson's Disease Diagnosis from Smartphone Videos. - David C. Wong 004; Samuel D. Relton; Hui Fang 003; Rami Qhawaji; Christopher D. Graham; Jane E. Alty; Stefan Williams (CBMS, 2019)

Adaptive Lead Weighted ResNet Trained With Different Duration Signals for Classifying 12-lead ECGs. - Zhibin Zhao; Hui Fang 003; Samuel D. Relton; Ruqiang Yan 001; Yuhong Liu; Zhijing Li 005; Jing Qin 007; David C. Wong 004 (CinC, 2020)

Capturing accelerometer outputs in healthy volunteers under normal and simulated-pathological conditions using ML classifiers*. - Valeria Filippou; Anthony C. Redmond; Jacqueline Bennion; Michael R. Backhouse; David Wong 001 (EMBC, 2020)

Time series clustering to examine presence of decrement in Parkinson's finger-tapping bradykinesia. - Zhibin Zhao; Hui Fang 003; Stefan Williams; Samuel D. Relton; Jane E. Alty; Alexander J. Casson; David C. Wong 004 (EMBC, 2020)

The sparse and low-rank interpretation of SVD-based denoising for vibration signals. - Zhibin Zhao; Shibin Wang; David Wong 001; Yanjie Guo; Xuefeng Chen 002 (I2MTC, 2020)

A pain recording system based on mobile health technology for cancer patients in a home setting: A user-centred design. - Asma A. Abahussin; Robert M. West; Matthew J. Allsop; David C. Wong 004; Lucy E. Ziegler (ICHI, 2020)

Supervised classification of bradykinesia in Parkinson's disease from smartphone videos. - Stefan Williams; Samuel D. Relton; Hui Fang 003; Jane E. Alty; Rami Qahwaji; Christopher D. Graham; David C. Wong 004 (Artif. Intell. Medicine, 2020)

Sparsity-Assisted Fault Feature Enhancement: Algorithm-Aware Versus Model-Aware. - Zhibin Zhao; Shibin Wang; Weixin Xu 001; Shuming Wu; David Wong 001; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2020)

Deep Discriminative Domain Generalization with Adversarial Feature Learning for Classifying ECG Signals. - Zuogang Shang; Zhibin Zhao; Hui Fang 003; Samuel D. Relton; Darcy Murphy; Zoe Hancox; Ruqiang Yan 001; David Wong 001 (CinC, 2021)

Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs. - Zhibin Zhao; Darcy Murphy; Hugh Gifford; Stefan Williams; Annie Darlington; Samuel D. Relton; Hui Fang 003; David C. Wong 004 (CoRR, 2021)

Quantity and type of peer-reviewed evidence for popular free medical apps: Cross-sectional review. - David C. Wong 004; Khine Nwe; Ruth Evans; Natalie Nelissen; Mark E. Larsen (Int. J. Medical Informatics, 2021)

Robust enhanced trend filtering with unknown noise. - Zhibin Zhao; Shibin Wang; David Wong 001; Chuang Sun 001; Ruqiang Yan 001; Xuefeng Chen 002 (Signal Process., 2021)

Two-stage Classification for Detecting Murmurs from Phonocardiograms Using Deep and Expert Features. - Sara Summerton; Danny Wood; Darcy Murphy; Oliver C. Redfern; Matt Benatan; Matti Kaisti; David C. Wong 004 (CinC, 2022)

Contactless hand tremor amplitude measurement using smartphones: development and pilot evaluation. - James Bungay; Osasenaga Emokpae; Samuel D. Relton; Jane E. Alty; Stefan Williams; Hui Fang 003; David C. Wong 004 (EMBC, 2023)

Outlier detection of vital sign trajectories from COVID-19 patients. - Sara Summerton; Ann Tivey; Rohan Shotton; Gavin Brown 001; Oliver C. Redfern; Rachel Oakley; John Radford; David C. Wong 004 (EMBC, 2023)

On the Difficulty of Predicting Engagement with Digital Health for Substance Use. - Franziska Günther; Christopher Yau; Sarah Elison-Davies; David Wong 001 (MIE, 2023)

A novel temporal generative adversarial network for electrocardiography anomaly detection. - Jing Qin 007; Fujie Gao; Zumin Wang; David C. Wong 004; Zhibin Zhao; Samuel D. Relton; Hui Fang 003 (Artif. Intell. Medicine, 2023)

Domain randomization using synthetic electrocardiograms for training neural networks. - Matti Kaisti; Juho Laitala; David Wong 001; Antti Airola (Artif. Intell. Medicine, 2023)

Person-Specific Template Matching Using a Dynamic Time Warping Step-Count Algorithm for Multiple Walking Activities. - Valeria Filippou; Michael R. Backhouse; Anthony C. Redmond; David C. Wong 004 (Sensors, 2023)

Empirical investigation of multi-source cross-validation in clinical ECG classification. - Tuija Leinonen; David Wong 001; Antti Vasankari; Ali Wahab; Ramesh Nadarajah; Matti Kaisti; Antti Airola (Comput. Biol. Medicine, 2024)

Empirical investigation of multi-source cross-validation in clinical machine learning. - Tuija Leinonen; David Wong 001; Ali Wahab; Ramesh Nadarajah; Matti Kaisti; Antti Airola (CoRR, 2024)

Flexible framework for generating synthetic electrocardiograms and photoplethysmograms. - Katri Karhinoja; Antti Vasankari; Jukka-Pekka Sirkiä; Antti Airola; David Wong 001; Matti Kaisti (CoRR, 2024)

Automated Digitisation and Analysis of Paper Pain Drawings for Improved Diagnostic Accuracy of Polymyalgia Rheumatica in Primary Care. - Darcy Murphy; Sarah Mackie; David Wong 001; William G. Dixon; Sabine van der Veer (CBMS, 2025)