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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)

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Feature extraction and recognition for pulse waveform in Traditional Chinese Medicine based on hemodynamics principle., , , , , , , and . ICCA, page 972-976. IEEE, (2010)A multi-instance multi-label learning approach to objective auscultation analysis of traditional Chinese medicine., , , , , , and . BMEI, page 1626-1630. IEEE, (2011)Symptom selection for multi-label data of inquiry diagnosis in traditional Chinese medicine., , , and . SCIENCE CHINA Information Sciences, 56 (5): 1-13 (2013)Classifying syndromes in traditional Chinese medicine based on ISOMAP-SVM., , , and . BMEI, page 464-468. IEEE, (2012)Nonlinear noise reduction of auscultation signal analysis in Traditional Chinese Medicine., , , , , , , , and . ICCA, page 977-980. IEEE, (2010)The Development of a New Three-channel Self-pressurized Wrist Pulse Acquisition System., , , and . BIODEVICES, page 23-28. SciTePress, (2015)Thinking of the standardized study on traditional Chinese Medicine syndromes diagnostic criteria., , , and . ICCA, page 1131-1134. IEEE, (2014)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)Food Safety Risk Communication between the Food Regulator and Consumer in China: An Evolutionary Game Perspective., , , and . Complex., (2021)