Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software
Reference57 articles.
1. Alkhodari, M., & Fraiwan, L. (2021). Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings. Computer Methods and Programs in Biomedicine, 200,
2. Bashar, M. K., Dandapat, S., & Kumazawa, I. (2018). Heart abnormality classification using phonocardiogram (PCG) signals. IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2018, 336–340. https://doi.org/10.1109/IECBES.2018.8626627
3. Cardiac auscultation of heart murmurs database. http://www.egeneralmedical.com/listohearmur.html.
4. Classification of normal/abnormal heart sound recordings: the, 2016. https://physionet.org/content/challenge-2016/1.0.0/.
5. C.M. Implementation, heart sounds database. http://www.cvtoolbox.com/index.html.