Identification of S1 and S2 heart sound patterns based on fractal theory and shape context

DOI10.1155/2017/1580414zbMath1380.93264OpenAlexW2770039576MaRDI QIDQ1694172

Irini Reljin, Goran Zajić, Ana Gavrovska, Vesna Bogdanović, Branimir D. Reljin

Publication date: 1 February 2018

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/1580414

zbMATH Keywords

identificationfractal theoryadaptive waveform filteringheart sound patternsshape context

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Medical applications (general) (92C50) Identification in stochastic control theory (93E12) Fractals (28A80)

Uses Software

• LS-SVMlab

Cites Work

• High order statistics and time-frequency domain to classify heart sounds for subjects under cardiac stress test
• Local fractal and multifractal features for volumic texture characterization
• The fractality of lung sounds: a comparison of three waveform fractal dimension algorithms
• Unnamed Item

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