Yuhang Xu

Dr

    Accepting PhD Students

    PhD projects

    I have a GCRF PhD studentship for September 2021 entry. The project title is "Towards quick clinical adaption of Diagnostic Decision Support System (DDSS) for pregnancy monitoring in low-resource settings: deriving tocodynamometry-like (TOCO-like) waveform from electrohysterography (EHG)". Follow the link below for more details: https://www.coventry.ac.uk/research/research-opportunities/research-students/research-studentships/towards-quick-clinical-adaption-of-diagnostic-decision-support-system-ddss-for-pregnancy-monitoring-in-low-resource-settings-deriving-tocodynamometry-like-toco-like-waveform-from-electrohysterography-ehg/

    • Source: Scopus
    • Calculated based on no. of publications stored in Pure and citations from Scopus
    20162021

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    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 2013Feb 2018

    Award Date: 1 Mar 2018

    Circuits and Systems, MEng

    Sep 2010Jun 2013

    Award Date: 23 Jun 2013

    Electronic Engineering, Degree

    Sep 2006Jun 2010

    Award Date: 23 Jun 2010

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