Brno University of Technology ECG Quality Database (BUT QDB)
收藏DataCite Commons2022-12-07 更新2025-04-16 收录
下载链接:
https://physionet.org/content/butqdb/1.0.0/
下载链接
链接失效反馈官方服务:
资源简介:
BUT QDB is a database created by the cardiology team at the Department of
Biomedical Engineering, Brno University of Technology, for the purpose of
evaluating ECG quality. The data comprises 18 long-term recordings of single-
lead ECGs and associated 3-axis accelerometer data, collected from 15 subjects
(9 female, 6 male) aged between 21 to 83 years. Recordings were carried out
between August 2018 and October 2019 while the subjects were undertaking
ordinary everyday activities ("free-living conditions"). Data was collected
using a mobile ECG and accelerometer (Bittium Faros 180) with a sampling
frequency of 1,000 Hz for ECG signals and 100 Hz for accelerometer signals.
The minimum length of recording is 24 hours.
Three signals were fully annotated in terms of ECG signal quality. The
remaining 15 signals were annotated in two selected segments, each of 20
minutes in duration. Furthermore, five additional segments of poor signal
quality were also annotated. Signal quality was classified as follows: Class 1
indicates that all ECG significant waveforms (P wave, T wave and QRS complex)
are clearly visible and their onsets and offsets can be detected reliably;
Class 2 indicates that the noise level is increased and ECG significant points
cannot be reliably detected, but the signal enables reliable QRS detection;
Class 3 indicates that QRS complexes cannot be detected reliably and the
signal is unsuitable for any further analysis.
BUT QDB是布尔诺理工大学生物医学工程系心脏病学团队构建的数据库,用于评估心电图(Electrocardiogram, ECG)质量。该数据集包含18份单导联心电图长时程记录及配套的三轴加速度计数据,采集自15名受试者(9名女性、6名男性),年龄区间为21至83岁。数据采集工作于2018年8月至2019年10月期间开展,受试者处于日常活动状态,即“自由活动场景”。本次采集使用移动心电图与加速度计设备(Bittium Faros 180)完成,其中心电图信号采样频率为1000 Hz,加速度计信号采样频率为100 Hz,单份记录的最短时长为24小时。
其中3份记录已针对心电图信号质量完成全量标注;剩余15份记录仅在两段各20分钟的选定片段上完成标注。此外,另有5段信号质量不佳的额外片段也完成了标注。信号质量分级标准如下:1级表示所有心电图特征波形(P波、T波与QRS波群)均清晰可见,且其起始点与终止点可被可靠检测;2级表示噪声水平升高,心电图特征点无法被可靠检测,但仍可对QRS波群实现可靠识别;3级表示无法可靠检测QRS波群,该信号不适用于任何后续分析。
提供机构:
PhysioNet创建时间:
2020-07-17
搜集汇总
数据集介绍

背景与挑战
背景概述
BUT QDB是一个由布尔诺理工大学生物医学工程系心脏病学团队创建的数据集,专门用于评估心电图(ECG)信号质量。它包含18个单导联ECG和3轴加速度计的长时记录,数据来自15名受试者在日常活动条件下采集,采样频率高(ECG 1000 Hz,加速度计100 Hz),记录时长至少24小时,并提供了基于三类质量标准的详细标注,包括完全标注和部分标注段,以支持ECG质量分析和算法开发。
以上内容由遇见数据集搜集并总结生成




