Title
Phonocardiogram signals processing approach for PASCAL Classifying Heart Sounds Challenge.
Abstract
This paper describes a new approach of the first and the second challenge presented by Pattern Analysis, Statistical Modeling and Computational Learning (PASCAL) Classifying Heart Sounds Challenge. The segmentation of phonocardiogram signals into the first heart sound S1 and the second heart sound S2 consists in heart sounds preprocessing, heart sounds peaks detection, extra peaks rejection and S1 and S2 peaks identification. Regarding heart sounds classification into few classes, relevant descriptors have been extracted from phonocardiogram signals, some of which have relied on segmentation results, and used as parameters for an appropriate classifier. The results of this methodology are compared with those of other approaches obtained at PASCAL Classifying Heart Sounds Challenge by means of the segmentation total error value and the precision of each category.
Year
DOI
Venue
2018
10.1007/s11760-018-1261-5
Signal, Image and Video Processing
Keywords
Field
DocType
Heart sounds, PASCAL challenge, PCG signals, Heart sounds segmentation, Heart sounds classification
Phonocardiogram,Signal processing,Pattern recognition,Segmentation,Pattern analysis,Preprocessor,Artificial intelligence,Statistical model,Classifier (linguistics),Mathematics,Heart sounds
Journal
Volume
Issue
ISSN
12
6
1863-1703
Citations 
PageRank 
References 
1
0.35
3
Authors
4
Name
Order
Citations
PageRank
Fatima Chakir110.35
Abdelilah Jilbab283.07
Chafik Nacir310.35
Ahmed Hammouch44312.91