Wearable Sensing Techniques for Arm-based ECG and Bioimpedance Long-term Monitoring of Cardiac Pumping Effectiveness in Heart Failure and Atrial Fibrillation Assessment Methods.

The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £19,000 (tbc) per annum for three years (subject to satisfactory academic performance).

This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.

Lee Park K, Anter E. (2013). Atrial Fibrillation and Heart Failure: A Review of the Intersection of Two Cardiac Epidemics. J Atr Fibrillation. 2013;6(1):751. Published 2013 Jun 30. doi:10.4022/jafib.751

Hayashi H, Abe Y, Morita Y, et al. (2019). Impact of stroke volume on prognostic outcome in patients with atrial fibrillation and concomitant heart failure with preserved ejection fraction. J Cardiol. 2019;73(4):307-312. doi:10.1016/j.jjcc.2018.12.011

Escalona OJ, Abdul-Qayum G, Hilton A, et al.(2022). Cardiac contractility assessment from arm impedance plethysmography (IPG). World Congress on Medical Physics and Biomedical Engineering, IFMBE Proceedings, accepted (21/Feb-2022), in press.

Lynn WD, Escalona OJ, McEneaney, DJ (2013), “Arm and wrist surface potential mapping for wearable ECG rhythm recording devices: a pilot clinical study”. Journal of Physics: Conference Series, 450, 012026, 2013.

Vizcaya P, Perpiñan G, McEneaney D, Escalona OJ (2019). Standard ECG Lead I Prospective Estimation Study from Far-field Bipolar Leads on the Left Upper Arm: A Neural Network Approach. Journal of Biomedical Signal Processing and Control; 51: 171-180, DOI: https://doi.org/10.1016/j.bspc.2019.01.020.

Lynn WD, Escalona O, McEneaney DJ, (2014). A Low Latency Electrocardiographic QRS Activity Recovery Technique for Use on the Upper Left Arm. Electronics (Switzerland), 3: 409-418.

O. Escalona, W. Lynn, G. Perpiñan, L. McFrederick, et al.(2017), “Data-Driven ECG Denoising Techniques for Characterising Bipolar Lead Sets along the Left Arm in Wearable Long-Term Heart Rhythm Monitoring,” Electronics, vol. 6, no. 4, p. 84, 2017

Escalona, OJ, McFrederick, L, Borges, M, Linares, P, et al.(2017). Wrist and Arm Body Surface Bipolar ECG Leads Signal and Sensor Study for Long-term Rhythm Monitoring. 44th Computing in Cardiology Conference 2017, Vol 44.

Villegas, Angel, McEneaney, David, Escalona, Omar. (2019). Arm-ECG Wireless Sensor System for Wearable Long-Term Surveillance of Heart Arrhythmias. Electronics 8, No.11: 1300. DOI: 10.3390/electronics8111300.

Escalona, O.J.; Villegas, A.; Mukhtar, S.; et al.(2020). Wireless Arm Wearable Sensor Band for Long-Term Heart Rhythms Surveillance Using a Bipolar Arm-ECG Lead. In Proceedings of Computing in Cardiology, 2020; Volume 47, published in IEEE Xplore, doi: 10.22489/CinC.2020.470

McCallan N, Biglarbeigi P, Finlay D, Perpiñan G, McLaughlin J, Escalona OJ (2019). Wearable Technology: Signal Recovery of ECG from Short Spaced Leads in the Far-field Using Discrete Wavelet Transform Based Techniques. Computing in Cardiology (4-page paper), Conference Proceedings, Vol. 46, published in IEEE Xplore, doi: 10.22489/CinC.2019.313

Escalona, O.J., Magwood, S., McCallan, N., Hilton, A. (2022). Feasibility of Wearable Armband Bipolar ECG Lead-1 for Long-term HRV Monitoring Using a Combined Signal Averaging and 2-stage Wavelet Denoising Technique. In Proceedings of Computing in Cardiology, vol. 49, doi: 10.22489/CinC.2022.409

Escalona, O.; Mukhtar, S.; McEneaney, D.; Finlay, D. (2022). Armband Sensors Location Assessment for Left Arm-ECG Bipolar Leads Waveform Components Discovery Tendencies Around the MUAC Line. Sensors 2022, 22, 7240, https://doi.org/10.3390/s22197240

Escalona, O., Cullen, N., Weli, I., McCallan, N., Ng, K.Y., Finlay, D. (2023). Robust Arm Impedocardiography Signal Quality Enhancement Using Recursive Signal Averaging and Multi-Stage Wavelet Denoising Methods for Long-Term Cardiac Contractility Monitoring Armbands Sensors 2023, 23, 5892. https://doi.org/10.3390/s23135892

Cullen, N, Escalona, O, Fahima, R, Weli, I (2023). In Proceedings of Computing in Cardiology 2023, in press, Open Access, https://cinc.org/2023/Program/accepted/444_CinCFinalPDF.pdf