Classifying heart sounds using multiresolution time series motifs: An exploratory study

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Gomes, EF (Author) Other; Jorge, AM (Author) FCUP; Azevedo, PJ (Author) Other

Conference proceedings International

Title: ACM International Conference Proceeding Series

Pages: 23-30

6th International C* Conference on Computer Science and Software Engineering, C3S2E 2013

Porto, 10 July 2013 through 12 July 2013

Indexing

Scopus - 13 Citations

Other information

Authenticus ID: P-008-D4W

DOI: 10.1145/2494444.2494458

Abstract (EN): The aim of this work is to describe an exploratory study on the use of a SAX-based Multiresolution Motif Discovery method for Heart Sound Classification. The idea of our work is to discover relevant frequent motifs in the audio signals and use the discovered motifs and their frequency as characterizing attributes. We also describe different configurations of motif discovery for defining attributes and compare the use of a decision tree based algorithm with random forests on this kind of data. Experiments were performed with a dataset obtained from a clinic trial in hospitals using the digital stethoscope DigiScope. This exploratory study suggests that motifs contain valuable information that can be further exploited for Heart Sound Classification. © 2013 ACM.

Language: English

Type (Professor's evaluation): Scientific