Table 6 Summary of datasets for heart sound analysis.

From: Explainable attention-based deep learning for classification and interpretation of heart murmurs using phonocardiograms

Dataset

Classes

Recordings (n)

Sampling freq.

Notable features /

limitations

CirCor DigiScope

Timing, shape, pitch,

murmur location

5,282

4 kHz (Littmann 3200)

Pediatric focus;

minimal adult data

PhysioNet/CinC 2016

Normal, Abnormal

2,575 normal,

655 abnormal

2 kHz (Digital)

High noise; limited

coverage of rare

CVDs

Pascal Dataset A

Normal, Murmur, Artifact

167

44.1 kHz

(iStethoscope Pro)

Small scale;

emphasizes artifact

detection

Pascal Dataset B

Normal, Murmur

279

44 kHz (Digital)

Narrow pathology

scope; few

recordings

GitHub Open Access

AS, MS, MVP, MR

1,000

8 kHz (Mixed)

Valvular focus;

lacks demographic

variety

Heart Sounds

Shenzhen (HSS)

Normal, Mild, Severe

845

4 kHz (Electronic)

Focus on valvular

disease severity