人工智能心电数据库的研究与应用

Research and Application of ECG Database for Artificial Intelligence

结合当前心电图领域现状及用户对心电数据的需求,对比国内外心电图数据库现状了解到,当前国内缺乏满足市场需求并真正落地的标准心电数据库。针对当前问题,我们提出统一数据格式、增大数据库填充量、提高数据质量等心电图数据库解决方案并实施落地,搭建国内首个心电类型数据库。本文详细介绍心电数据库的构建思路、技术架构、主要功能及标准化管理规范,展望数据库在多种场景下落地应用,为更多临床科学研究、数据测试和验证工作提供基础支撑。心电数据库的应用将同时反向推进人工智能技术在心电领域的发展,加快心电智能算法的研发,促进人工智能技术在心电领域的落地应用,具有很高的科技、经济、社会效益。

Combining the current status of the electrocardiogram field 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 first 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 scientific research,data testing and verification.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 artificial intelligence technology in the field of electrocardiogram,which has high technological,economic and social benefits.