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Classifying syndromes in traditional Chinese medicine based on ISOMAP-SVM.

, , , and . BMEI, page 464-468. IEEE, (2012)

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A Practical Approach to Wrist Pulse Segmentation and Single-period Average Waveform Estimation., , , , , , and . BMEI (2), page 334-338. IEEE Computer Society, (2008)978-0-7695-3118-2.Detecting and isolating multiple plant-wide oscillations via spectral independent component analysis., , and . Automatica, 41 (12): 2067-2075 (2005)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)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)Research on GA-SVM Based Head-Motion Classification via Mechanomyography Feature Analysis., , , , , and . Sensors, 19 (9): 1986 (2019)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)An improved approach to the classification of seven common TCM pulse conditions., , , , and . BMEI, page 621-624. IEEE, (2011)