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.

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。