Publications

Antoun, I., X. Li, A. Kotb, J. Barker, A. Mavilakandy, I. Koev, Z. Vali, R. Somani and G. A. Ng (2024). "Body surface mapping of P-waves in sinus rhythm to predict recurrence following cardioversion for atrial fibrillation." Frontiers in Cardiovascular Medicine 11.

Mäkynen, M.; Ng, G.A.; Li, X.; Schlindwein, F.S.; Pearce, T.C. Compressed Deep Learning Models for Wearable Atrial Fibrillation Detection through Attention. Sensors 2024, 24, 4787. 

Akash Mavilakandy, Ivelin Koev, Bharat Sidhu, Ahmed Kotb, Ibrahim Antoun, Sharon H Man, Zakariyya Vali, Vivetha Pooranachandran, Joseph Barker, Gaurav Panchal, Xin Li, G. André Ng. The Feasibility, Safety and Outcome of Very High-Power Short Duration Radiofrequency Ablation in Pulmonary Vein Isolation: A Real-World Observation Study. Rev. Cardiovasc. Med. 2024, 25(7), 250. 

Long Chen; Zheheng Jiang; Joseph Barker; Huiyu Zhou; Fernando S. Schlindwein; Will Nicolson; G. Andre Ng; Xin Li., "ECGVEDNET: A Variational Encoder-Decoder Network for ECG Delineation in Morphology Variant ECGs," in IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2024.3363077.

Joseph Barker*, Xin Li*, Ahmed Kotb, Akash Mavilakandy, Ibrahim Antoun, Chokanan Thaitirarot, Ivelin Koev, Sharon Man, Fernando S Schlindwein, Harshil Dhutia, Shui Hao Chin, Ivan Tyukin, William B Nicolson, G Andre Ng, Artificial intelligence for ventricular arrhythmia capability using ambulatory electrocardiograms, European Heart Journal - Digital Health, 2024;, ztae004, https://doi.org/10.1093/ehjdh/ztae004 

X. Li, F. S. Schlindwein, J. Zhao, M. Bishop, and G. A. Ng, "Editorial: Exploring mechanisms of cardiac rhythm disturbances using novel computational methods: Prediction, classification, and therapy," , Frontiers in Physiology, Editorial vol. 14, 2023-February-10 2023, doi: 10.3389/fphys.2023.1155857.

Joseph Barker, Xin Li, Sarah Khavandi, David Koeckerling, Akash Mavilakandy, Coral Pepper, Vasiliki Bountziouka, Long Chen, Ahmed Kotb, Ibrahim Antoun, John Mansir, Karl Smith-Byrne, Fernando S Schlindwein, Harshil Dhutia, Ivan Tyukin, William B Nicolson, G Andre Ng, Machine learning in sudden cardiac death risk prediction: a systematic review, EP Europace, 2022;, euac135, https://doi.org/10.1093/europace/euac135

Ehnesh M, Li X, Almeida TP, Chu GS, Dastagir N, Stafford PJ, et al. Evaluating spatial disparities of rotor sites and high dominant frequency regions during catheter ablation for PersAF patients targeting high dominant frequency sites using non-contacting mapping. Front. Physiol, 2022, Vol 13, doi: 10.3389/fphys.2022.946718.

Chu, G. S*., X. Li*, P. J. Stafford, F. J. Vanheusden, J. L. Salinet, T. P. Almeida, N. Dastagir, A. J. Sandilands, P. Kirchhof, F. S. Schlindwein and G. A. Ng. Simultaneous Whole-Chamber Non-contact Mapping of Highest Dominant Frequency Sites During Persistent Atrial Fibrillation: A Prospective Ablation Study. Front. Physiol, 2022, Vol 13. doi:10.3389/fphys.2022.826449

Pooranachandran V, Nicolson W, Vali Z, Li X, Ng G. Non-invasive markers for sudden cardiac death risk stratification in dilated cardiomyopathy. Heart,  20 October 2021. doi: 10.1136/heartjnl-2021-319971

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.

Koya, A., R. K. Mehra, E. N. Obianom, A. Abdelrazik, A. Mavilakandy, R. Chauhan, X. Li and G. A. Ng (2024). "BS30 Heart rate variability derivatives: frequency domain as a measure of autonomic nervous system function in rabbit coronary-artery ligation model." Heart 110(Suppl 3): A266-A266.

PO-02-099 AUTONOMIC DYSFUNCTION WITH REDUCED HEART RATE VARIABILITY FOLLOWING MYOCARDIAL INFARCT IN A RABBIT CORONARY-ARTERY LIGATION MODEL, Ahmed Abdelrazik, Abdulmalik Koya, Reshma Chauhan, Ekenedirichukwu Obianom, Xin Li, G. Andre Ng,  HRS 2024, VOLUME 21, ISSUE 5, SUPPLEMENT , S302, MAY 2024 DOI:https://doi.org/10.1016/j.hrthm.2024.03.831 

PO-04-077 ELECTROGRAM STRENGTH AT 10 HZ UNVEILED AS ACCURATE PREDICTOR OF REGIONAL CATHETER ABLATION SUCCESS IN PERSISTENT ATRIAL FIBRILLATION, NOOR QAQOS, Xin Li, G. Andre Ng, HRS 2024, VOLUME 21, ISSUE 5, SUPPLEMENT , S486-S487, MAY 2024, DOI:https://doi.org/10.1016/j.hrthm.2024.03.1266  

Predicting Cardiac Arrest Recovery with Shallow and Deep Learning Models, accepted by CinC 2023

Choosing Electrograms Features for Predicting Catheter Ablation Outcomes for Persistent Atrial Fibrillation, accepted by CinC 2023

 Evaluating Electrograms Domain Knowledge for Enhancing Catheter Ablation Outcomes Based on Time Series Features, accepted by CinC 2023

DEtErmining the Predictive value of HOLTER monitors for Sudden Cardiac Death by artificial intelligence, Joseph Barker, Xin Li, G. Andre Ng. Heart Rhythm Society 2023

Transfer Learning in Heart Sound Classification using Mel spectrogram, Xin Li, G Andre Ng, Fernando S Schlindwein, CinC2022 

Can sequentially collected electrograms be effectively used for dominant frequency mapping during persis-tent AF? Xin Li, Charlie Hugill, Gavin S. Chu, Mahmoud Ehnesh, Tiago P. Al-meida, Bharat Sidhu, Ibrahim Antoun, Ahmed Kotb, Peter J. Stafford, G. Andre Ng, Fernando S. Schlindwein, CinC2022 

Spatio-temporal ECG Network for Detecting Cardiac Disorders from Multi-lead ECGs. Chen L, Jiang Z, Almeida TP, Schlindwein FS, Shoker JS, Ng GA, Zhou H, Li X, CinC 2021 

Diagnostic of multiple cardiac disorders from 12-lead ECGs using Graph Convolutional Network based multi-label classification. Jiang Z, Almeida TP, Schlindwein FS, Ng GA, Zhou H, Li X, CinC 2022 

P439Could regional electrogram desynchronization identified using mean phase coherence be potential ablation targets in persistent atrial fibrillation? X Li, B Sidhu, T P Almeida, M Ehnesh, A Mistry, Z Vali, V Pooranachandran, G S Chu, P J Stafford, F S Schlindwein, G A Ng, , EP Europace, Volume 22, Issue Supplement_1, June 2020, euaa162.013, https://doi.org/10.1093/europace/euaa162.013 

Li et al. “A Convolutional Neural Network for Early Detection of Sepsis using Hourly Physiological Data from Patients in Intensive Care Unit”, Computing in Cardiology Conference (CinC), 2019 

Li et al. “Machine learning classifiers for predicting catheter ablation responses using non-contact electrograms during persistent atrial fibrillation” EHRA 2019 - the annual congress of the European Heart Rhythm Association 

Li et al. “Dominant Frequency Variability Mapping for Identifying Stable Drivers During Persistent Atrial Fibrillation Using Noncontact Mapping”. Computing in Cardiology Conference (CinC), 2018 

Li et al. “A K-Nearest Neighbour Classifier for Predicting Catheter Ablation Responses Using Noncontact Electrograms During Persistent Atrial Fibrillation”. Computing in Cardiology Conference (CinC), 2018 

Li et al. “Improving target identification of persistent atrial fibrillation ablation using simultaneous intracardiac mapping”, EP Europace, Volume 19, Issue suppl_1, 1 October 2017, Pages i14, at Heart Rhythm Congress(HRC) 2017 

Li et al. “Characteristics of ablated rotors in terminating persistent atrial fibrillation using non-contact mapping”, EP Europace, Volume 19, Issue suppl_1, 1 October 2017, Pages i3,at Heart Rhythm Congress(HRC) 2017, Young Investigator Competition Finalist

Li et al.  “Investigation on Recurrent High Dominant Frequency Spatiotemporal Patterns in Atrial Fibrillation”. Computing in Cardiology Conference (CinC), 2015 

Li et al. “Recurrent High Dominant Frequency Patterns in Persistent Atrial Fibrillation”. Heart Rhythm Congress 2015 

Li et al.  "A platform to guide catheter ablation of persistent atrial fibrillation using dominant frequency mapping," in Computing in Cardiology Conference (CinC), 2014