Dr Xin Li

Contact Details

Lecturer in Biomedical Engineering
(School of Engineering & Department of Cardiovascular Sciences)

Aerospace and Computational Engineering Research Group

School of Engineering
Engineering Building
Room 1001
University Road
Leicester
LE1 7RH
UK

t: +44 (0)116 229 7380
e:
xin.li (at) leicester.ac.uk

Dr Xin Li

 

Research Interests

My research interest focuses on digital signal processing and intelligent algorithms of biological and biomedical signals:

  • Improving target identification for catheter ablation using advanced signal processing techniques and intelligent algorithms for human persistent atrial fibrillation
  • Algorithms development for novel ECG risk makers for sudden cardiac death
  • Machine learning, Classification and Regression
  • Recurrent Quantification Analysis
  • Mapping and Cardiac Arrythmias
  • Body surface potential mapping
  • Electrocardiogram (ECG) analysis

 

Education

PhD Bioengineering, University of Leicester, 2016

MSc Electronic & Electrical Engineering, University of Leeds, 2012

BSc Electrical Information Engineering, University of Science and Technology, Beijing, 2011

Call for Papers

Submissions are welcome to our research topic in Frontiers in Physiology on Computational Methods in Cardiac rhythm disturbances.

Link: https://www.frontiersin.org/research-topics/18724/exploring-mechanisms-of-cardiac-rhythm-disturbances-using-novel-computational-methods-prediction-cla

Deadline: 30 June 2021

Grants and awards

  • Young Investigator Competition Finalist at Heart Rhythm Congress 2017 “Characteristics of Ablated Rotors in Terminating Persistent Atrial Fibrillation using Non-Contact Mapping”, Xin Li, Gavin S Chu, Tiago P Almeida, João L Salinet, Nawshin Dastagir, Amar R Mistry, Zakariyya Vali, Peter J Stafford, Fernando S Schlindwein, G André Ng
  • MRC Proximity to Discovery (P2D): Adhoc Industry Engagement Activities. Improving efficacy of catheter ablation for atrial fibrillation, 2016/17. £3k (PI)
  • MRC Confidence in Concept funds 2017 (Leicester Drug Discovery and Diagnostics (LD3)): Towards commercialising LifeMap as a novel clinical tool for assessing risk of sudden cardiac death, 2017/18. £42k (NC)
  • Journal Paper selected as Editor's Choice - Computer Methods and Programs in Biomedicine - April 2017 - An interactive platform to guide catheter ablation in human persistent atrial fibrillation using dominant frequency, organization and phase mapping.
  • MRC Confidence in Concept funds 2019 (Leicester Drug Discovery and Diagnostics (LD3)): Deep learning for refining LifeMap - a new technology for risk stratification of sudden cardiac death, 2019/20. £43k (CI)
  • British Heart Foundation Project Grant (PG/18/33/33780). “Improving target identification for catheter ablation using dominant frequency and rotor analysis in human persistent atrial fibrillation using non-contact mapping” 2018/20. £93k (NC)
  • Biomedical Catalyst DPFS Developmental Pathway Funding (MR/S00582X/1). ‘’Development of a successful novel technology for sudden cardiac death risk stratification for clinical use – LifeMap’’ 2019/22. £1m (NC)
  • IAX Events and Meetings Funding. ‘’Industrial meeting: Intelligent systems for target identification of catheter ablation in atrial fibrillation’’ 2019. £1k (PI)
  • ECR and research staff funding - Doctoral College - Short-term visiting grants, 2019. £4k (PI)
  • The van Geest Heart and Cardiovascular Diseases Research Fund. "Deep learning methods for early detection of myocardial ischemia using digital and paper ECGs", 2020/21, £11.8k (PI)
  • MRC Confidence in Concept funds 2020 (Leicester Drug Discovery and Diagnostics (LD3)): Optimising deep neural networks for fully automating a novel technology for risk stratification of sudden cardiac death. 2020/21. £43k (CI)

*(PI: principle investigator; CI: co-investigator;  NC: named candidate)

 

Journal Publications (ResearchGate link)

Z. Jiang, F. Zhou, A. Zhao, X. Li, L. Li, D. Tao, X. Li, H. Zhou, "Muti-view Mouse Social Behaviour Recognition with Deep Graphic Model," in IEEE Transactions on Image Processing, 2021, doi: 10.1109/TIP.2021.3083079.

Li, X., Chu, G.S, Almeida, T.P., Vanheusden F.J., Salinet, J., Dastagir, N., Mistry, A. R., Vali, Z, Sidhu B, Starfford, P. J., Schlindwein, F.S., Ng, G.A., 2021. Automatic Extraction of Recurrent Patterns of High Dominant Frequency Mapping during Human Persistent Atrial Fibrillation. Front. Physiol, 2021 Vol. 12 Issue 286, DOI: 10.3389/fphys.2021.649486

Almeida, T.; Soriano, D.; Mase, M.; Ravelli, F.; Bezerra, A.; Li, X.; Chu, G.; Salinet, J.; Stafford, P.; Andre Ng, G.; Schlindwein, F.; Yoneyama, T. Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation. IEEE Transactions on Biomedical Engineering 2020, 1–1. https://doi.org/10.1109/TBME.2020.3021480.

Li, X., Almeida, T.P., Dastagir, N., Guillem, M.S., Salinet, J., Chu, G.S., Stafford, P.J., Schlindwein, F.S., Ng, G.A., 2020. Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation. Front. Physiol. 11, 869. doi: doi.org/10.3389/fphys.2020.00869

Almeida, T.P., Li, X., Soriano, D.C., Schlindwein, F.S. and Ng, G.A. (2020), Pitfalls in the definition of complex fractionated atrial electrograms for atrial fibrillation studies. J Cardiovasc Electrophysiol, 31: 373-374. doi:10.1111/jce.14302

Mistry A, Vali Z, Sidhu B, Budgeon C, Yuyun MF, Pooranachandran V, Li X, Newton M, Watts J, Khunti K, Samani NJ and Ng GA. Disparity in implantable cardioverter defibrillator therapy among minority South Asians in the United Kingdom. Heart. 2020:heartjnl-2019-315978.

O’Shea, Holmes, Yu, Winter, Wells, Correia, Boukens, Chu, Li, Ng, Kirchhof, Fabritz, Rajpoot, Pavlovic, ElectroMap: High-throughput open-source software for analysis and mapping of cardiac electrophysiology, Scientific Reports - Nature 2019;9:1389.

Vanheusden FJ, Chu GS, Li X, Salinet J, Almeida TP, Dastagir N, et al. Systematic differences of non-invasive dominant frequency estimation compared to invasive dominant frequency estimation in atrial fibrillation. Comput Biol Med. 2019;104:299-309.

Mistry, A, Vali, Z, Taher, A, Sidhu, B, Li, X, Newton, M, & Ng, G. A (2019). Consideration for primary prevention implantable cardioverter defibrillators differ between specialities. Postgraduate Medical Journal, 95(1122), 205 LP-209

Ng GA, Mistry A, Li X, Schlindwein FS, Nicolson WB. LifeMap: towards the development of a new technology in sudden cardiac death risk stratification for clinical use. Europace. 2018;20(FI2):f162-f70.

Almeida TP, Schlindwein FS, Salinet J, Li X, Chu GS, Tuan JH, et al. Characterization of human persistent atrial fibrillation electrograms using recurrence quantification analysis. Chaos. 2018;28(8).

Almeida TP, Chu GS, Li X, Dastagir N, Tuan JH, Stafford PJ, Schlindwein FS, Ng GA. Atrial electrogram fractionation distribution before and after pulmonary vein isolation in human persistent atrial fibrillation - a retrospective multivariate statistical analysis. Front Physiol 8:589:1-12 doi: 10.3389/fphys.2017.00589

Almeida TP, Chu GS, Bell MJ, Li X, Salinet JL, Dastagir N, Tuan JH, Stafford PJ, André Ng G, Schlindwein FS. The temporal behavior and consistency of bipolar atrial electrograms in human persistent atrial fibrillation. Med Biol Eng Comput. 2017.

Salinet JL, Schindwein FS, Stafford PJ,Almeida TP, Li X, Vanheusden FJ, et al. Propagation of Meandering Rotors Surrounded by High Dominant Frequency Areas in Persistent Atrial Fibrillation. Heart Rhythm. 2017

Li X, Salinet JL, Almeida TP, Vanheusden FJ, Chu GS, Ng GA, et al. An interactive platform to guide catheter ablation in human persistent atrial fibrillation using dominant frequency, organization and phase mapping. Computer Methods and Programs in Biomedicine. 2017;141:83-92.

Almeida TP, Chu GS, Salinet JL, Vanheusden FJ, Li X, Tuan JH, et al. Minimizing discordances in automated classification of fractionated electrograms in human persistent atrial fibrillation. Med Biol Eng Comput. 2016;54(11):1695-706.

 

Teaching

EG2004 - Engineering Experimentation and Analysis – Academic Lead

EG1006 - Engineering Design and Experimentation – Academic Lead

EG7020 - MSc Individual Project

BS3X00 - 3rd year projects (School of Biological Sciences)

Supervision

PhDs:

Mohamed Rumi Ismail (PT) - started 2021

PDRAs:

Long Chen - started 2021

MSCs (Engineering):

Xuanlin Chen - 2020 - Distinction & best student award

Snehal Sanjay Shevate - 2020

BSCs (Medical): LUMRS Link projects

Jason R Armstrong - started 2021

Marcus O Panchal - started 2021

Ibrahim A Nasser - started 2021

Jakevir S Shoker - started 2021

Visiting students:

Jack Hall - started 2021

 

I am looking for talented, self-motivated PhD students and researchers to work in the field of intelligent biomedical signal processing in complex cardiac arrhythmias. If you're interested feel free to contact me at xl251 at le.ac.uk. Applications for PhD here.

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