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| Progress of artificial intelligence-enabled ECG analysis technology applied in clinical diagnosis and treatment |
| GENG Shijia, ZHOU Yang, XU Weilun, LIU Xingpeng, HONG Shenda |
| 1. HeartVoice Medical Technology, Hefei Anhui 230088; 2. Heart Center, Beijing ChaoYang Hospital, Capital Medical University, Beijing 100020; 3. HeartRhythmHeartVoice Joint Laboratory, HTRM Medical, Beijing 100020; 4. National Institute of Health Data Science, Peking University, Beijing 100191, China |
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Abstract In an order of the abstract structure of the human body from inside to outside, this paper lists the stateoftheart research advances of artificial intelligence (AI) especially deep neural network in ECG analysis from aspects of electrical conduction system and the structure of the heart (including heart valves, myocardium, coronary arteries, etc.), other systems out of the heart, ect. This paper introduces the application of AIenabled ECG analysis technology in identifying arhythmias, electrolyte disturbances, valvular heart disease, coronary heart disease, and diseases of the circulation system and digestive system. This paper also covers its innovative application in the field of personal identification, and how to use AI technologies such as transfer learning in practical research. This paper is aimed to promote more crossfield cooperations, explore deep values of ECG, and help to realize the screening, diagnosis and treatment of multisystem diseases.
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