Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network-Reference-Cited by-同舟云学术

Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network

Published:2020-02-11 Issue:2 Volume:43 Page:505-515
ISSN:2662-4729
Container-title:Physical and Engineering Sciences in Medicine
language:en
Short-container-title:Phys Eng Sci Med

Author:

Krishnan Palani Thanaraj,Balasubramanian Parvathavarthini,Umapathy Snekhalatha^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Biomedical Engineering,Biophysics,Radiological and Ultrasound Technology,Biotechnology

Link

http://link.springer.com/content/pdf/10.1007/s13246-020-00851-w.pdf

Reference21 articles.

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2. Liu C, Springer D, Clifford GD (2017) Performance of an open-source heart sound segmentation algorithm on eight independent databases. Physiol Meas 38:1730–1745. https://doi.org/10.1088/1361-6579/aa6e9f

3. Liu C, Springer D, Li Q, Moody B, Juan RA, Chorro FJ et al (2016) An open access database for the evaluation of heart sound algorithms. Physiol Meas 37:2181–2213. https://doi.org/10.1088/0967-3334/37/12/2181

4. Redlarski G, Gradolewski D, Palkowski A (2014) A system for heart sounds classification. PLoS ONE 9:e112673. https://doi.org/10.1371/journal.pone.0112673

5. Choi S, Jiang Z (2010) Cardiac sound murmurs classification with autoregressive spectral analysis and multi-support vector machine technique. Comput Biol Med 40:8–20. https://doi.org/10.1016/J.COMPBIOMED.2009.10.003

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