A multi-spot exploration of the topological structures of the reconstructed phase-space for the detection of cardiac murmurs

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Oliveira, J (Author) Other; Oliveira, C (Author) Other; Cardoso, B (Author) Other; Sultan, MS (Author) Other; Coimbra, M (Author) FCUP

Conference proceedings International

Title: 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)

Pages: 4194-4197

37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Milan, ITALY, AUG 25-29, 2015

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 5 Citations

Other information

Authenticus ID: P-00K-2MR

DOI: 10.1109/embc.2015.7319319

Abstract (EN): Acoustic heart signals are generated by a turbulence effect created when the heart valves snap shut, and therefore carrying significant information of the underlying functionality of the cardiovascular system. In this paper, we present a method for heart murmur classification divided into three major steps: a) features are extracted from the heart sound; b) features are selected using a Backward Feature Selection algorithm; c) signals are classified using a K-nearest neighbor's classifier. A new set of fractal features are proposed, which are based on the distinct signatures of complexity and self-similarity registered on the normal and pathogenic cases. The experimental results show that fractal features are the most capable of describing the non-linear structure and the underlying dynamics of heart sounds among the all feature families tested. The classification results achieved for the mitral auscultation spot (88% of accuracy) are in agreement with the current state of the art methods for heart murmur classification.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4