Research output per year
Research output per year
Personal profile
Biography
Dr Xu is currently working as an Assistant Professor at Centre for Intelligent Healthcare, in the theme of Health Technology & Innovation. Her research has spanned a wide range of areas within Biomedical Engineering and Electronic Engineering, especially developing advanced signal processing approaches for healthcare applications. She is currently working on the research topics of Preterm Birth Prediction and Pregnancy Monitoring.
Dr Xu was awarded a PhD in Electronic Engineering from King's College London (KCL) in 2018. Her PhD thesis "Advanced Signal Processing Methods for Analysis of Cortico-Muscular Coherence" focuses on analysing electrophysiological signals (EEG and EMG) and developing novel algorithms to aid the classification and stratification of patients with movement disorders. Before working at Coventry University, she worked as a Post-doctoral researcher at the Department of Basic & Clinical Neuroscience and Department of Informatics at KCL on a project to apply the techniques of signal processing, statistics and information theory to predict the epileptic seizures.
In addition to implementing mathematical theories into clinical neuroscience, her previous research has also focused on software development for healthcare applications and communication systems (e.g. Intermediate-Frequency Receiver for Missile Control, Deepwater Communication system).
Research Interests
Signal processing; Electrophysiology; Healthcare application; Clinical tool innovation
Education/Academic qualification
Electronic Engineering, Doctorate, King's College London
Sep 2013 → Feb 2018
Award Date: 1 Mar 2018
Circuits and Systems, MEng
Sep 2010 → Jun 2013
Award Date: 23 Jun 2013
Electronic Engineering, Degree
Sep 2006 → Jun 2010
Award Date: 23 Jun 2010
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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 AccessFile -
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., 2022, In: IEEE Reviews in Biomedical Engineering. 15, p. 341-353 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile72 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 AccessFile3 Citations (Scopus)16 Downloads (Pure) -
Development and validation of a deep learning-based automatic auscultatory blood pressure measurement method
Pan, F., He, P., Wang, H., Xu, Y., Pu, X., Zhao, Q., Chen, F. & Zheng, D., Jul 2021, In: Biomedical Signal Processing and Control. 68, 102742.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)6 Downloads (Pure) -
Evaluation of cuff deflation and inflation rates on a deep learning-based automatic blood pressure measurement method: a pilot evaluation study
Pan, F., He, P., Chen, F., Xu, Y., Zhao, Q., Sun, P. & Zheng, D., 1 Apr 2021, In: Blood Pressure Monitoring. 26, 2, p. 129-134 6 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)18 Downloads (Pure)