Review of Ex Vivo Cardiac Electrical Mapping and Intelligent Labeling of Atrial Fibrillation Substrates*

doi:10.23919/CJEE.2023.000008

Chinese Journal of Electrical Engineering ›› 2023, Vol. 9 ›› Issue (1): 93-103.doi: 10.23919/CJEE.2023.000008

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Review of Ex Vivo Cardiac Electrical Mapping and Intelligent Labeling of Atrial Fibrillation Substrates^*

Yi Chang¹, Ming Dong^1,*, Bin Wang¹, Ming Ren¹, Lihong Fan²

1. School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, China;
2. The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China

Received:2022-09-30 Revised:2022-12-31 Accepted:2023-01-30 Online:2023-03-25 Published:2023-04-06
Contact: *E-mail: dongming@xjtu.edu.cn
About author:Yi Chang received his B.S. degree in Electrical Engineering from Xi'an Jiaotong University, Xi'an, China, in 2022. And he is currently working toward the M.S. degree in Electrical Engineering, Xi'an Jiaotong University, Xi'an, China. His research work is ex vivo electrophysiological monitoring.
Ming Dong (M'08) was born in Shaanxi Province, China, in 1978. He received the B.S. and Ph.D. degrees in Electrical Engineering from Xi'an Jiaotong University, Xi'an, China, in 2001 and 2006. His major is high voltage engineering and his research work are intelligent HV equipment and power condition assessment.
Bin Wang was born in Shandong Province, China, in 1995. He received the B.S. degree in Electrical Engineering from Xi'an Jiaotong University, Xi'an, China in 2017, where he is presently pursuing for the Ph.D. degree. His major is high-voltage engineering, and his present research works are HV equipment intelligent and on-site detection technology of electric power equipment.
Ming Ren was born in Shaanxi Province, China, in 1987. He received the B.S. degree in Electrical Engineering from Xi'an Jiaotong University, Xi'an, China, in 2009, where he is currently pursuing the Ph.D. degree under the guidance of Prof. Qiu. His major is high voltage engineering and his research work are fault diagnosis and state maintenance of power system.
Lihong Fan was born in Shaanxi Province, China, in 1977. She received B.S. and Ph.D. & M.D. from School of Pharmacy, Xi'an Jiaotong University, Xi'an, China, in 2001 and 2008. Her major study is cardiac electrophysiology.
Supported by:
*National Natural Science Foundation of China under Grants 62176208.

Abstract

Abstract: With the development of computer hardware and the growth of clinical database, tremendous progress has been made in the application of deep learning to electrocardiographic data, which provides new ideas for the ex vivo cardiac electrical mapping of atrial fibrillation (AF) substrates. The AF mechanism and current status of AF substrate research are first summarized. Then, the advantages and limitations of cardiac electrophysiological mapping techniques are analyzed. Finally, the application of deep learning to electrocardiogram (ECG) data is reviewed, the problems with the ex vivo intelligent labeling of an AF substrate and the possible solutions are discussed, an outlook on future development is provided.

Key words: Catheter ablation, atrial fibrillation substrate, three-dimensional mapping, deep learning

Yi Chang, Ming Dong, Bin Wang, Ming Ren, Lihong Fan. Review of Ex Vivo Cardiac Electrical Mapping and Intelligent Labeling of Atrial Fibrillation Substrates^*[J]. Chinese Journal of Electrical Engineering, 2023, 9(1): 93-103.

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Review of Ex Vivo Cardiac Electrical Mapping and Intelligent Labeling of Atrial Fibrillation Substrates^*

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