遇见数据集

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors

收藏
DataCite Commons2024-10-01 更新2025-04-16 收录
官方服务:

资源简介:

False arrhythmia alarms are a persistent problem in intensive care units despite considerable effort from industrial and academic algorithm developers. Among the various arrhythmias, ventricular tachycardia (VT) is particularly challenging to detect accurately, as achieving both high sensitivity and high positive predictivity has proven difficult. We present an annotated VT alarm database, VTaC (Ventricular Tachycardia annotated alarms from ICUs) consisting of over 5,000 waveform recordings with VT alarms triggered by bedside monitors in the ICUs. Each VT alarm in the dataset was labeled as true or false by at least two independent human expert annotators. The dataset comprises data collected from ICUs in three major US hospitals and includes data from three leading bedside monitor manufacturers, providing a diverse and representative collection of VT alarm waveform data. Each waveform recording comprises at least two electrocardiogram (ECG) leads and one or more pulsatile waveforms, such as photoplethysmogram (PPG or PLETH) and arterial blood pressure (ABP) waveforms.

尽管工业界与学术界的算法研发人员已投入大量精力,重症监护病房(intensive care unit,ICU)内的假心律失常警报仍是长期存在的共性难题。在各类心律失常中,室性心动过速(ventricular tachycardia,VT)的精准检测尤为困难,因为同时实现高灵敏度与高阳性预测值已被证实颇具挑战。我们构建了一款标注型室性心动过速警报数据库VTaC(Ventricular Tachycardia annotated alarms from ICUs),该数据集包含超过5000段由ICU床旁监护仪触发的VT警报波形记录。数据集中的每一条VT警报均由至少两名独立的人类专家标注员标记为真警报或假警报。该数据集采集自美国三家大型医院的ICU,涵盖三家主流床旁监护仪厂商的数据,由此形成了具备多样性与代表性的VT警报波形数据集集合。每一段波形记录均包含至少两导联心电图(electrocardiogram,ECG)以及一段或多段搏动性波形,例如光电容积描记图(photoplethysmogram,PPG或PLETH)与动脉血压(arterial blood pressure,ABP)波形。

提供机构:
PhysioNet
创建时间:
2024-09-12
搜集汇总
背景与挑战
背景概述
VTaC是一个专注于ICU监护仪中室性心动过速(VT)警报的基准数据集,包含超过5,000条波形记录,旨在解决假性心律失常警报的检测难题。数据集数据来源于美国三家主要医院的ICU,并覆盖三家领先监护仪制造商,确保多样性;每条警报都经过至少两名人类专家独立标注真伪,且波形记录包括多导联心电图和脉动信号,为VT检测算法开发提供了高质量资源。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务