David Wong
Orcid: 0000-0001-8117-9193Affiliations:
- University of Manchester, UK
- University of Leeds, Institute of Health Sciences, Leeds, UK (former)
- University of Oxford, Institute of Biomedical Engineering, Oxford, UK (former)
According to our database1,
David Wong
authored at least 28 papers
between 2011 and 2024.
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Bibliography
2024
Empirical investigation of multi-source cross-validation in clinical machine learning.
CoRR, 2024
2023
Person-Specific Template Matching Using a Dynamic Time Warping Step-Count Algorithm for Multiple Walking Activities.
Sensors, November, 2023
Domain randomization using synthetic electrocardiograms for training neural networks.
Artif. Intell. Medicine, September, 2023
A novel temporal generative adversarial network for electrocardiography anomaly detection.
Artif. Intell. Medicine, February, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Contactless hand tremor amplitude measurement using smartphones: development and pilot evaluation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Two-stage Classification for Detecting Murmurs from Phonocardiograms Using Deep and Expert Features.
Proceedings of the Computing in Cardiology, 2022
2021
Quantity and type of peer-reviewed evidence for popular free medical apps: Cross-sectional review.
Int. J. Medical Informatics, 2021
Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs.
CoRR, 2021
Deep Discriminative Domain Generalization with Adversarial Feature Learning for Classifying ECG Signals.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
IEEE Trans. Instrum. Meas., 2020
Supervised classification of bradykinesia in Parkinson's disease from smartphone videos.
Artif. Intell. Medicine, 2020
A pain recording system based on mobile health technology for cancer patients in a home setting: A user-centred design.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
Time series clustering to examine presence of decrement in Parkinson's finger-tapping bradykinesia.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Capturing accelerometer outputs in healthy volunteers under normal and simulated-pathological conditions using ML classifiers<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Adaptive Lead Weighted ResNet Trained With Different Duration Signals for Classifying 12-lead ECGs.
Proceedings of the Computing in Cardiology, 2020
2019
Supervised Classification of Bradykinesia for Parkinson's Disease Diagnosis from Smartphone Videos.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
2017
A ward-based time study of paper and electronic documentation for recording vital sign observations.
J. Am. Medical Informatics Assoc., 2017
Quantitative metrics for evaluating the phased roll-out of clinical information systems.
Int. J. Medical Informatics, 2017
Proceedings of the Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017
2016
Evaluation of the effects of implementing an electronic early warning score system: protocol for a stepped wedge study.
BMC Medical Informatics Decis. Mak., 2016
2015
SEND: a system for electronic notification and documentation of vital sign observations.
BMC Medical Informatics Decis. Mak., 2015
2013
A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department.
IEEE J. Biomed. Health Informatics, 2013
IEEE J. Sel. Top. Signal Process., 2013
2012
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012
2011
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011