Projects per year
Personal profile
Biography
I am an Assistant Professor at Research Centre for Intelligent Healthcare, in the cluster of Healthcare Sensing Technology. My research has spanned a wide range of areas within Biomedical Engineering and Electronic Engineering, especially developing advanced signal processing approaches for healthcare applications.
I am currently working on the research topics of Preterm Birth Prediction and Pregnancy Monitoring. My research vision is to reduce health inequalities, particularly to reduce stillbirth, maternal and neonatal mortality, improve the awareness of the group of pregnant women and enhance the engagement of pregnant women with healthcare interventions. I have successfully led the projects funded by, e.g., NIHR, UKRI, as the project lead, collaborating with clinicians and midwives at UHCW NHS Trust and Birmingham City University.
My previous research has also focused on implementing mathematical theories into clinical neuroscience, where EEG and EMG were used to develop novel algorithms to aid the classification and stratification of patients with movement disorders.
Research Interests
Signal processing; Electrophysiology; Healthcare application; Clinical tool innovation
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Electronic Engineering, Doctorate, Advanced Signal Processing Methods for Analysis of Cortico-Muscular Coherence, King's College London
Sept 2013 → Feb 2018
Award Date: 1 Mar 2018
Circuits and Systems, MEng, Anti-Interference for Hydrometric Cableway Deepwater Communication Channel
Sept 2010 → Jun 2013
Award Date: 23 Jun 2013
Electronic Engineering, Degree
Sept 2006 → Jun 2010
Award Date: 23 Jun 2010
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Collaborations and top research areas from the last five years
Projects
- 2 Finished
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Pump-priming activity in collaboration with Newcastle University for EPSRC standard grant submission to understand biophysiology of human uterine contractile activities
Xu, Y., Zheng, D. & Taggart, M.
10/01/23 → 10/07/23
Project: Internally funded project
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Intelligent prediction of preterm birth using AI-empowered electrohysterography sensing
Xu, Y., Zheng, D., Holliday, N., Bailey, E. & Mastoi, Q.
1/11/21 → 31/01/23
Project: Research
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Subband Independent Component Analysis for Coherence Enhancement
Guo, Z., Xu, Y., Rosenzweig, J., McClelland, V., Rosenzweig, I. & Cvetkovic, Z., Aug 2024, In: IEEE Transactions on Biomedical Engineering. 71, 8, p. 2402-2413 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile40 Downloads (Pure) -
Calcium Activation of Parvalbumin Neurons Induced by Electrical Motor Cortex Stimulation
Wang, R., Han, J., Xi, W., Xu, Y., Zheng, D., You, H. & Zhang, S., 8 Sept 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, Vol. 2022. p. 2353-2356 4 p. (Annual International Conference of the IEEE Engineering in Medicine and Biology Society.).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review
Open AccessFile10 Downloads (Pure) -
Regional identification of information flow termination of electrohysterographic signals: Towards understanding human uterine electrical propagation
Xu, Y., Hao, D., Taggart, M. J. & Zheng, D., Aug 2022, In: Computer Methods and Programs in Biomedicine. 223, 12 p., 106967.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)81 Downloads (Pure) -
Uterus Modeling from Cell to Organ Level: Towards Better Understanding of Physiological Basis of Uterine Activity
Xu, Y., Liu, H., Hao, D., Taggart, M. & Zheng, D., 24 Jan 2022, In: IEEE Reviews in Biomedical Engineering. 15, p. 341-353 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)260 Downloads (Pure) -
Automatic recognition of uterine contractions with electrohysterogram signals based on the zero-crossing rate
Song, X., Qiao, X., Hao, D., Yang, L., Zhou, X., Xu, Y. & Zheng, D., 21 Jan 2021, In: Scientific Reports. 11, 1, 10 p., 1956.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Citations (Scopus)74 Downloads (Pure)
Datasets
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Dataset on blood flow and instantaneous wave-free ratio in normal and stenosed coronary arteries
Liu, H. (Creator), Ou, S. (Contributor), Liu, P. (Contributor), Xu, Y. (Contributor), Gong, Y. (Contributor), Xia, L. (Contributor), Leng, X. (Contributor), Leung, T. W. H. (Contributor), Shi, L. (Contributor) & Zheng, D. (Contributor), Elsevier, 11 Jul 2020
DOI: 10.1016/j.dib.2020.106011
Dataset
Prizes
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NIHR AI in Health and Care Award
Xu, Yuhang (Recipient), 2021
Prize: Prize (including medals and awards)