Author of the publication

Nonlinear noise reduction of auscultation signal analysis in Traditional Chinese Medicine.

, , , , , , , , and . ICCA, page 977-980. IEEE, (2010)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Nonlinear analysis of auscultation signals in Traditional Chinese Medicine using Wavelet Packet Transform and Approximate Entropy., , , , , , , , and . I. J. Functional Informatics and Personalised Medicine, 2 (3): 325-340 (2009)Tongue, complexion and pulse research of Chronic Gastritis based on spectral clustering and modularity., , , , , , , and . BIBM, page 1346-1349. IEEE, (2016)TCM pulse analysis of the patients with coronary heart disease based on Multiscale Entropy., , , and . ICCA, page 1135-1138. IEEE, (2014)Prosvms based diagnostic model of chronic gastritis in TCM., , , , , , and . ICCA, page 1114-1117. IEEE, (2014)Deep Learning Based Syndrome Diagnosis of Chronic Gastritis., , , , , , and . Comp. Math. Methods in Medicine, (2014)Nonlinear noise reduction of auscultation signal analysis in Traditional Chinese Medicine., , , , , , , , and . ICCA, page 977-980. IEEE, (2010)Objective research of auscultation signals in Traditional Chinese Medicine based on wavelet packet energy and Support Vector Machine., , , , , , , and . IJBRA, 6 (5): 435-448 (2010)Study on intelligent syndrome differentiation in Traditional Chinese Medicine based on multiple information fusion methods., , , , , , , , and . IJDMB, 5 (4): 369-382 (2011)One-Class SVM Based Segmentation for SAR Image., and . ISNN (3), volume 4493 of Lecture Notes in Computer Science, page 959-966. Springer, (2007)Directed cyclic graph-based feature selection and modeling of the dampness syndrome of chronic gastritis., , , , , and . BIBM, page 999-1003. IEEE Computer Society, (2015)