Paper Info
Title
An adaptive thresholding method for the wavelet based denoising of phonocardiogram signal.
Abstract
•An adaptive threshold estimation method for wavelet based denoising of phonocardiography signal.•The proposed method is adaptive to the level of noise present in the signal.•New statistical parameter is proposed based on domain knowledge about the PCG signal.•A non-linear mid threshold function is also proposed, and its parameters are optimized.•The proposed method efficiently suppresses various types of noise and murmur sounds.
Year
DOI
Venue
2017
10.1016/j.bspc.2017.07.002
Biomedical Signal Processing and Control
Keywords
Field
DocType
Heart sound signal,Phonocardiography,Discrete wavelet transform,Wavelet denoising,Thresholding
Noise reduction,Phonocardiogram,Colors of noise,Discrete wavelet transform,Artificial intelligence,Thresholding,Wavelet,Computer vision,Pattern recognition,Pink noise,Speech recognition,Additive white Gaussian noise,Mathematics
Journal
Volume
ISSN
Citations 
38
1746-8094
4
PageRank 
References 
Authors
0.42
12
2
Name
Order
Citations
PageRank
Puneet Kumar Jain1151.24
Anil Kumar Tiwari26517.51