中国心血管疾病数据库(CCDD)及其管理工具

Jia-wei Zhang, Liping Wang, Xia Liu, Hong-hai Zhu, Jun Dong
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引用次数: 20

摘要

标准心电图数据库是为了测试自动检测和分类算法的性能而准备的。目前,计算机辅助心电诊断研究者使用的主流标准数据库有MIT-BIH心律失常数据库、CSE多导联数据库和AHA数据库三种。随着心电图设备和诊断理论的进步,这些数据库存在着严重的缺陷,需要建立新的数据库进行进一步的研究。为此,提出了包含12导联心电图数据和详细特征及诊断结果的中国心血管疾病数据库(CCDD或CCD数据库)。该方法不仅改进了原始心电数据的技术参数,而且引入了一些形态学特征。调查显示这些特征被经验丰富的心脏病专家有效地利用。CCDD在我们的小组中使用,也针对其他和其他人未来的项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chinese Cardiovascular Disease Database (CCDD) and Its Management Tool
Standard Electrocardiogram (ECG) database is prepared for testing the performance of automatic detection and classification algorithms. At present, there are three mainstream standard databases used by computer-aided ECG diagnosis researchers: MIT-BIH arrhythmia database, CSE multi-lead database and AHA database. By the progress of ECG in both equipment and diagnosis theory, fatal deficiency was found in these databases and a new one is needed for further studies. So Chinese Cardiovascular Disease Database (CCDD or CCD database), which contains 12-Lead ECG data and detailed features with diagnosis result is proposed. It is distinguished not only by improving the raw ECG data’s technical parameters, but also introduces some morphology features. Investigation shows these features are utilized by experienced cardiologists effectively. CCDD is used in our group as well as aiming for other and others’ projects in the future.
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