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Journal of Biomedical Engineering ; (6): 22-26, 2011.
Article in Chinese | WPRIM | ID: wpr-260856

ABSTRACT

The ensemble empirical mode decomposition (EEMD) can be used to overcome the mode mixing problem of empirical mode decomposition (EMD) effectively. The EEMD method and Hilbert-Huang Transform (HHT) can be used to analyze pulse signals of Traditional Chinese Medicine (TCM). The amplitudes of the added white noise were about 0.1 and 0.2 time standard deviation of the investigated signal respectively. The difference of average frequency and average energy of every mode between normal pulse, slippery pulse, wiry pulse and wiry-slippery pulse were demonstrated based on different amplitudes of the added white noise. The results showed that it is more in line with clinical practice when the amplitude of the added white noise is about 0.2 time standard deviation of the investigated signal.


Subject(s)
Humans , Algorithms , Artifacts , Diagnosis, Differential , Medicine, Chinese Traditional , Methods , Pulse , Signal Processing, Computer-Assisted
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