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

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2015

Autores

Oliveira, J (Autor) Outra; Oliveira, C (Autor) Outra; Cardoso, B (Autor) Outra; Sultan, MS (Autor) Outra; Coimbra, M (Autor) FCUP

Ata de Conferência Internacional

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

Páginas: 4194-4197

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

Milan, ITALY, AUG 25-29, 2015

Indexação

ISI Web of Knowledge - 4 Citações

Scopus - 5 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4