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

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（ICU）中的心律失常假警报仍是长期存在的顽疾。
在各类心律失常中，室性心动过速（Ventricular Tachycardia, VT）的精准检测尤为棘手，因为同时实现高灵敏度与高阳性预测值一直是公认的难题。
本研究发布了一款带标注的室性心动过速警报数据库VTaC（Ventricular Tachycardia annotated alarms from ICUs，即ICU来源的室性心动过速标注警报），包含超过5000条由ICU床边监护仪触发的VT警报波形记录。
本数据集内的每一条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。
该数据集的数据采集自美国三家大型医院的ICU，且涵盖了三家主流床边监护仪厂商的设备数据，因此构建了兼具多样性与代表性的VT警报波形数据集。
每条波形记录至少包含两路心电图（Electrocardiogram, ECG）导联以及一路或多路搏动性波形，例如光电容积描记图（Photoplethysmogram, PPG 又称PLETH）与动脉血压（Arterial Blood Pressure, ABP）波形。

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5,037个经过专家标注的波形记录，其中28.61%为真实警报。数据来自美国三家主要医院的ICU，具有多样性和代表性，适用于开发减少假性心律失常警报的算法。