%0 Journal Article %1 IJACSA.2010.010505 %A weixiong Zhang xizheng Yin ling, Wang %D 2010 %J International Journal of Advanced Computer Science and Applications(IJACSA) %K bowel de-noising; sounds; threshold transform; wavelet %N 5 %T An New Filtering Methods in the Wavelet Domain for Bowel Sounds %U http://ijacsa.thesai.org/ %V 1 %X Bowel sounds signal (BS) is one of the important human physiological signals, analysis of the BS signal can then study gastrointestinal physiology and implement direct and effective diagnosis of gastrointestinal disorders. Use different threshold denoising methods denoising the original bowel sounds, simulated in the environment of MATLAB, then compared the denoising results and analyzed the advantages and disadvantages of those threshold denoising methods.

@article{IJACSA.2010.010505, abstract = { Bowel sounds signal (BS) is one of the important human physiological signals, analysis of the BS signal can then study gastrointestinal physiology and implement direct and effective diagnosis of gastrointestinal disorders. Use different threshold denoising methods denoising the original bowel sounds, simulated in the environment of MATLAB, then compared the denoising results and analyzed the advantages and disadvantages of those threshold denoising methods. }, added-at = {2014-02-21T08:00:08.000+0100}, author = {weixiong {Zhang xizheng Yin ling}, Wang}, biburl = {https://www.bibsonomy.org/bibtex/263c6ea1949cfd3c33ee8d4991c9748d2/thesaiorg}, interhash = {ec7d0a89dd9364023a24b9fc384cca56}, intrahash = {63c6ea1949cfd3c33ee8d4991c9748d2}, journal = {International Journal of Advanced Computer Science and Applications(IJACSA)}, keywords = {bowel de-noising; sounds; threshold transform; wavelet}, number = 5, timestamp = {2014-02-21T08:00:08.000+0100}, title = {{An New Filtering Methods in the Wavelet Domain for Bowel Sounds}}, url = {http://ijacsa.thesai.org/}, volume = 1, year = 2010 }