KURIAS-ECG: a 12-lead electrocardiogram database with standardized diagnosis ontology

The 12-lead electrocardiogram (ECG) is the fundamental test used to evaluate
the electrophysiological state of the heart. Most previous ECG databases use
the diagnosis confirmed by experts. Therefore, ECG diagnosis is not
standardized and its quality is not uniform. In addition, there is a problem
in that the diagnosis statements differ depending on the ECG machine. This
limits the use of the database for further research, such as artificial
intelligence and clinical research. Of note, modern ECG machines provide
computerized rule-based ECG diagnoses comparable to physicians'
interpretations.

Here a high-quality 12-lead ECG database with standard vocabularies (SNOMED-CT
and OMOP-CDM), which was transformed from a computerized ECG diagnosis of ECG
machines was developed. A total of 147 ECG diagnoses were grouped into 10
categories of the Minnesota code classification. To improve the quality of the
database, ECG cases of inappropriate ECG, such as poor quality, reverse arm
ECG, and missing data, were removed. In addition, to minimize skew of the
database, 2000 ECG cases were extracted for each Minnesota classification
category. As a result of database construction, the database consisted of
20000 records for 10 categories of the Minnesota code classification from
13862 patients. The standardized database can be utilized for comprehensive
research on the diagnosis of cardiac disease and the development of robust
artificial intelligence technology.

12导联心电图（12-lead electrocardiogram, ECG）是评估心脏电生理状态的基础检查手段。此前多数公开心电图数据库均采用专家确认的诊断结果，因此心电图诊断缺乏统一标准，质量参差不齐，且存在不同心电图机输出的诊断描述存在差异的问题，这限制了该类数据库在人工智能、临床研究等领域的进一步应用。值得注意的是，现代心电图机可提供基于计算机规则的心电图诊断，其准确性可与医师解读相媲美。
本研究构建了一款高质量12导联心电图数据库，该库源自心电图机的计算机化诊断结果，并采用标准化术语集（SNOMED-CT与OMOP-CDM）。研究共将147项心电图诊断归类为明尼苏达编码分类（Minnesota code classification）的10个类别。为提升数据库质量，研究剔除了质量不佳、肢体导联接反、数据缺失等不合格心电图病例。此外，为最小化数据库的偏倚，每个明尼苏达编码分类类别均提取2000例心电图样本。最终构建完成的数据库涵盖来自13862名患者的20000条记录，覆盖明尼苏达编码分类的10个类别。这款标准化数据库可用于心脏疾病诊断相关的全面研究，以及高性能人工智能技术的开发。

搜集汇总

背景与挑战

背景概述

KURIAS-ECG是一个高质量的12导联心电图数据库，包含20,000条记录，采用标准化的诊断词汇和明尼苏达代码分类系统。数据经过严格质量控制，适用于心脏病诊断研究和人工智能技术开发。