Optimal delineation of PCG sounds via false-alarm bounded segmentation of a wavelet-based principal components analyzed metric

DOI10.1002/cnm.1431zbMath1417.92082OpenAlexW2146329496MaRDI QIDQ2892470

M. R. Homaeinezhad, Ehsan Deneshvar, Ali Ghaffari, M. Tahmasebi, S. Abbas Atyabi

Publication date: 18 June 2012

Published in: International Journal for Numerical Methods in Biomedical Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cnm.1431

zbMATH Keywords

discrete wavelet transformHilbert transformfalse alarm probabilityprincipal components analysisNeyman-Pearson hypothesis testsecond-order derivativefirst-order derivativeelectronic stethoscopePCG sounds detection-delineation

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Cites Work

• Ambulatory holter ECG individual events delineation via segmentation of a wavelet-based information-optimized 1-D feature
• Time-frequency analysis of the first and the second heartbeat sounds
• Computational cardiology. Modeling of anatomy, electrophysiology, and mechanics.
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