Weijie Jia, Yunyan Wang, Jingjing Ye, Die Li, Fei Yin, Jin Yu, Jiajia Chen, Qiang Shu, Weize Xu
BACKGROUND: Congenital heart disease (CHD) is a common birth defect in children. Intelligent auscultation algorithms have been proven to reduce the subjectivity of diagnoses and alleviate the workload of doctors. However, the development of this algorithm has been limited by the lack of reliable, standardized, and publicly available pediatric heart sound databases. Therefore, the objective of this research is to develop a large-scale, high-standard, high-quality, and accurately labeled pediatric congenital heart disease (CHD) heart sound database, and perform classification tasks to evaluate its performance, filling this important research gap...
January 9, 2024: IEEE Transactions on Bio-medical Engineering