MIMIC-III-Ext-CA: a MIMIC-III Derived Dataset of Cardiac Arrests in Photoplethysmographs

Photoplethysmography (PPG) is increasingly considered for detecting out-of-
hospital cardiac arrest (OHCA), but publicly available datasets remain scarce.
We used a method for identifying cardiac arrest episodes captured by PPG in
the MIMIC-III database, which combines automated screening with manual
annotation of waveforms and clinical data. Using this approach, we compiled 36
annotated cardiac arrest episodes from 31 patients. The dataset serves as a
valuable resource for developing and validating wearable OHCA detection
technologies.

光电容积脉搏波描记法（Photoplethysmography, PPG）在院外心脏骤停（out-of-hospital cardiac arrest, OHCA）检测中的应用价值日益凸显，但当前公开可用的相关数据集仍较为匮乏。本研究采用一种融合自动筛查与波形、临床数据手动标注的方法，从MIMIC-III数据库中识别由PPG采集的心脏骤停事件。通过该方法，我们从31例患者中整理得到36例经标注的心脏骤停事件。该数据集可作为开发与验证可穿戴式OHCA检测技术的宝贵研究资源。