Research and Application of ECG Database for Artificial Intelligence
WANG Hui1a，LIU Jingya2，LI Zhe2，WANG Dapeng2，MA Fei2，PAN Chengjun2，CUI Jinglei3，LIU Jingxin1b
1. a. Department of Electrical Diagnosis| b. Department of Radiology, China-Japan Union Hospital, Jilin University, Changchun Jilin 130033, China| 2. Shanghai Xun Kang Digital Technology Co., Ltd., Shanghai 200000, China| 3. Jilin Medical Imaging Engineering
Technology Research Center, Changchun Jilin 130033, China
Abstract：Combining the current status of the electrocardiogram ?eld and the user’s demand for electrocardiogram data, comparing the status of domestic and international electrocardiogram databases, we know that, there is no real standard electrocardiogram database in China which can meet the market demand. In view of the current problems, we put forward solutions for electrocardiogram database, such as unifying data format, increasing the amount of database filling, and improving data quality, and implemented them to build the ?rst electrocardiogram type database in China. This paper introduced the construction idea, technical framework, main functions and standardized management specifications of electrocardiogram database in detail, and looked forward to the application of the database in various scenarios, serving more clinical scienti?c research, data testing and veri?cation. The application of the electrocardiogram database will simultaneously advance the development of artificial intelligence technology in the field of electrocardiogram, accelerate the research and development of intelligent algorithms of electrocardiogram, and promote the application of arti?cial intelligence technology in the ?eld of electrocardiogram, which has high technological, economic and social bene?ts.
王辉1a，刘靖雅2，李哲2，王大鹏2，马斐2，潘成军2，崔晶蕾3，刘景鑫1b. 人工智能，心电数据库的研究与应用[J]. 中国医疗设备, 2020, 35(10): 17-22.
WANG Hui1a，LIU Jingya2，LI Zhe2，WANG Dapeng2，MA Fei2，PAN Chengjun2，CUI Jinglei3，LIU Jingxin1b. Research and Application of ECG Database for Artificial Intelligence. China Medical Devices, 2020, 35(10): 17-22.
