A benchmark of heart sound classification systems based on sparse decompositions-Reference-Cited by-同舟云学术

A benchmark of heart sound classification systems based on sparse decompositions

Published:2018-12-21 Issue: Volume: Page:
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Container-title:14th International Symposium on Medical Information Processing and Analysis
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Author:

Ibarra-Hernández Roilhi Frajo,Bertin Nancy,Alonso-Arévalo Miguel Angel,Guillén-Ramírez Hugo Armando

Publisher

SPIE

Reference37 articles.

1. WHO, “Cardiovascular diseases, fact sheet.” World Health Organization: http://www.who.int/mediacentre/factsheets/fs317/en/ (2017). Accessed: 2018-05-02.

2. Phonocardiography Signal Processing

3. Classification of normal/abnormal heart sound recordings: The physionet/computing in cardiology challenge 2016;Clifford,2016

4. An open access database for the evaluation of heart sound algorithms

5. Cycle selection and neuro-voting system for classifying heart sound recordings;Abdollahpur,2016

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