The CirCor DigiScope Phonocardiogram Dataset

A total number of 5272 heart sound recordings were collected from the main
four auscultation locations of 1568 subjects, aged between 0 and 21 years
(mean ± STD = 6.1 ± 4.3 years), with a duration between 4.8 to 80.4 seconds
(mean ± STD = 22.9 ± 7.4 s), totaling more than 33.5 hours of recording. Each
cardiac murmur in the dataset has been annotated in detail by a human
annotator, in terms of timing, shape, pitch, grading, quality and location.
Moreover, segmentation annotations regarding the location of fundamental heart
sounds (S1 and S2) in the recordings have been obtained using a semi-
supervised scheme. The segmentation annotations were performed by voting
between three state-of-the-art machine-based algorithms. An expert annotator
later studied the consensus and mismatches between the algorithms beat-by-beat
and performed a manual annotation whenever the algorithms had disagreed or
were not acceptable for the expert. To date, the dataset is the largest
publicly available pediatric heart sound dataset, supporting deeper research
on the topic of auscultation-based health recommendation systems. The dataset
is being used in the George B. Moody PhysioNet Challenge 2022 on Heart Murmur
Detection from Phonocardiogram Recordings.