Sparse Modeling of Heart Sounds and Murmurs based on Orthogonal Matching Pursuit
Publish place: 14th annual International CSI Computer Conference
Publish Year: 1388
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSICC14_062
تاریخ نمایه سازی: 24 خرداد 1388
Abstract:
In this paper, we address the Heart Sound signal modeling problem. The approach taken is based on sparse and redundant representations on an overcomplete dictionary. We apply matching pursuit (MP) and orthogonal matching pursuit (OMP) on two sets of normal and pathological phonocardiograms (PCGs). The dictionary includes classical Gabor wavelets or time-frequency atoms which are the product of a sinusoid and a Gaussian window function. The normalized root-mean-square error (NRMSE) was computed between the original and the reconstructed signals. The results show that the OMP method is very suitable to the transient and complex properties of the PCG’s, as it yielded excellent NRMSE’s around 1.61% for normal sounds and 5.19% for pathological murmurs.
Authors
Sepideh Jabbari
School of Electrical and Computer Engineering, Tarbiat Modares University
Hassan Ghassemian
School of Electrical and Computer Engineering, Tarbiat Modares University