Dr Philip Langley

Dr Philip Langley

Senior Lecturer/ Admissions Tutor (Engineering)

+44 (0)1482 466535 | P.Langley@hull.ac.uk

Faculty and Department

  • Faculty of Science and Engineering
  • Department of Engineering

Related groups

  • Medical Engineering

Summary

Dr Langley is a chartered engineering and clinical scientist whose engineering career spans three decades in the coal and steel industries, healthcare and academia. His research is focused on addressing the clinical need for improved diagnostics and therapeutics for heart disease through novel biomedical image / signal processing and devices.

Recent outputs

View more outputs

Conference Proceeding

The effect of beat interval on ventricular repolarisation in atrial fibrillation

Al-Karadi, M. S., Wilkinson, A. J., & Langley, P. (2019). The effect of beat interval on ventricular repolarisation in atrial fibrillation. https://doi.org/10.22489/CinC.2018.294

Antony Wilkinson

Journal Article

Multi-beat averaging reveals u waves are ubiquitous and standing tall at elevated heart rates following exercise

Al-Karadi, M. S., & Langley, P. (2020). Multi-beat averaging reveals u waves are ubiquitous and standing tall at elevated heart rates following exercise. Sensors, 20(14), 1-12. https://doi.org/10.3390/s20144029

Validation of an algorithm to reveal the U wave in atrial fibrillation

Al-Karadi, M. S., Wilkinson, A. J., Caldwell, J., & Langley, P. (2018). Validation of an algorithm to reveal the U wave in atrial fibrillation. Scientific reports, 8(1), https://doi.org/10.1038/s41598-018-30493-8

Heart sound classification from unsegmented phonocardiograms

Langley, P., & Murray, A. (2017). Heart sound classification from unsegmented phonocardiograms. Physiological Measurement, 38(8), 1658-1670. https://doi.org/10.1088/1361-6579/aa724c

Novel non-invasive algorithm to identify the origins of re-entry and ectopic foci in the atria from 64-lead ECGs. A computational study

Alday, E. A. P., Colman, M. A., Langley, P., & Zhang, H. (2017). Novel non-invasive algorithm to identify the origins of re-entry and ectopic foci in the atria from 64-lead ECGs. A computational study. PLoS computational biology, 13(3), e1005270. https://doi.org/10.1371/journal.pcbi.1005270

Postgraduate supervision

Dr Langley welcomes applications from highly motivated students with an outstanding first class undergraduate / postgraduate degree and relevant experience associated with his research. Completed PhDs - Daniel Raine, Surface ECG waveform analysis in determining the extent of atrial remodelling and predicting ablation outcomes in patients with atrial fibrillation (MD) - Wenfeng Duan, Dynamic Cardiac Imaging and Relationship to Physiological Measurements (PhD) - Marjan Bojarnejad, Cardiovascular physics and engineering applied to improving the outcome of atrial fibrillation therapy (PhD) - Kun Wang, Quantification of left ventricular volume from cardiac imaging (PhD) - Abigail Haigh, An investigation of principal component analysis as a computational technique for separation of atrial and ventricular ECG activities (PhD) - Adedayo Okelarin, Repeatability of thoracic impedance measurement (MPhil) Current PhD supervisions - Sarah Kane, Detection of atrial fibrillation in an ambulatory blood pressure device (PhD) - Marwa S Al-Karadi, U waves in atrial fibrillation (PhD)

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