Search
Wavelet-based denoising method for real phonocardiography signal recorded by mobile devices in noisy environment
Abstract
The main obstacle in development of intelligent autodiagnosis medical systems based on the analysis of phonocardiography (PCG) signals is noise. The noise can be caused by digestive and respiration sounds, movements or even signals from the surrounding environment and it is characterized by wide frequency and intensity spectrum. This spectrum overlaps the heart tones spectrum, which makes the problem of PCG signal filtrating complex. The most common method for filtering such signals are wavelet denoising algorithms. In previous studies, in order to determine the optimum wavelet denoising parameters the disturbances were simulated by Gaussian white noise. However, this paper shows that this noise has a variable character. Therefore, the purpose of this paper is adaptation of a wavelet denoising algorithm for the filtration of real PCG signal disturbances from signals recorded by a mobile devices in a noisy environment. The best results were obtained for Coif 5 wavelet at the 10th decomposition level with the use of a minimaxi threshold selection algorithm and mln rescaling function. The performance of the algorithm was tested on four pathological heart sounds: early systolic murmur, ejection click, late systolic murmur and pansystolic murmur.
Citations
-
6 6
CrossRef
-
0
Web of Science
-
7 0
Scopus
Authors (2)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
COMPUTERS IN BIOLOGY AND MEDICINE
no. 152,
pages 119 - 129,
ISSN: 0010-4825 - Language:
- Polish
- Publication year:
- 2014
- Bibliographic description:
- Gradolewski D., Redlarski G.: Wavelet-based denoising method for real phonocardiography signal recorded by mobile devices in noisy environment// COMPUTERS IN BIOLOGY AND MEDICINE. -Vol. 152, (2014), s.119-129
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.compbiomed.2014.06.011
- Verified by:
- Gdańsk University of Technology
seen 156 times