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Journal ArticleDOI

Comparison of Wavelet Transforms For Denoising And Analysis Of PCG Signal

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This article is published in Journal of Computer Security.The article was published on 2012-01-15. It has received 13 citations till now. The article focuses on the topics: Wavelet transform & Signal.

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Citations
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Journal ArticleDOI

Denoising of Heart Sound Signals Using Discrete Wavelet Transform

TL;DR: This study focuses on denoising of phonocardiogram (PCG) signals using different families of discrete wavelet transforms, thresholding types and techniques, and signal decomposition levels.
Journal ArticleDOI

Wavelet filtering of fetal phonocardiography: A comparative analysis

TL;DR: The WT-based filter obtained by combining the 4th-order Coiflet mother Wavelet with the Soft thresholding rule and the Universal thresholding algorithm was found to be optimal in both simulated and experimental FPCG data, since able to maintain FHR with respect to reference.
Journal ArticleDOI

A new method of lung sounds filtering using modulated least mean square—Adaptive noise cancellation

TL;DR: In this paper, a new method of LS filtering which separates heart sounds and low frequency noise from instruments (NI), with saving its characteristics is proposed, which is based on the application of least mean squares (LMS) algorithm with adaptive noise cancelling (ANC) technique.
Proceedings Article

Classification of PCG Signals: A Survey

TL;DR: An adaptive neuro-fuzzy inference system (ANFIS) is suggested that can correctly detect the pathological condition of heart.

Separation of Lung Sound from PCG Signals Using

TL;DR: In this article, a wavelet based denoising method for separation of lung sound from heart sound was implemented, where the multiresolution representation of the lung sound signal in the WT domain combined with soft thresholding can separate the input signal (lung sound) from the nonstationary one (heart sound).