The CirCor DigiScope Phonocardiogram Dataset

A total number of 5282 heart sound recordings were collected from the main four auscultation locations of 1568 patients, aged between 0.1 and 356.1 months (mean ± STD = 73.4 ± 50.3 months), with a duration between 4.8 to 80.4 seconds (mean ± STD = 22.9 ± 7.4 s), summing up to more than 312 hours of recording. For the first time, each cardiac murmur in the dataset has been annotated in detail, in terms of timing, shape, pitch, grading, quality, and location, by using a semi-supervised annotation scheme. The annotations were performed by voting between three state-of-the-art machine-based algorithms. Two independent experts later studied the consensus and mismatches between the algorithms beat-by-beat, and performed a manual annotation whenever the algorithms had disagreed. To date, the dataset is the largest pediatric heart sound dataset and it paves the way to a deeper research on the topic of auscultation-based health recommendation systems. The dataset is available online for public research on PhysioNet.

本数据集共收集了1568名患者（年龄介于0.1至356.1个月之间，平均年龄±标准差为73.4±50.3个月）在四个主要听诊位置的心音记录，总计5282条，记录时长介于4.8至80.4秒（平均时长±标准差为22.9±7.4秒），累计时长超过312小时。首次对数据集中的每一个心脏杂音进行了详细的标注，包括时间、形态、音调、等级、品质及位置等信息，采用了半监督标注方案。标注过程通过三种最先进的基于机器的算法之间的投票进行。随后，两名独立专家对算法之间的共识与差异进行了逐拍研究，并在算法出现分歧时进行了人工标注。截至目前，该数据集已成为最大的儿科心音数据集，并为基于听诊的健康推荐系统的研究开辟了新的路径。该数据集已公开发布于PhysioNet平台，供公众进行相关研究。

搜集汇总

背景与挑战

背景概述

该数据集是目前最大的儿科心音数据集，包含5282条来自四个听诊位置的心音记录，具有详细的半监督杂音标注。数据采用算法与专家联合标注的方式，为基于听诊的健康推荐系统研究提供了高质量资源。