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-AssistedABSTRACT
Objective:To explore the relationship of optimal pulse-taking pressure among cun,guan,chi pulse of of healthy persons.Methods:264 Healthy undergraduate were included and pulse signals were collected from cun,guan,chi in cunkou area.The relationship of optimal pulse-taking pressure among three-region pulse,ratios and body mass index(BMI)were researched.At the same time,to calculate relationship of optimal pulse-taking pressure among cun,guan,chi pulse.Results:The optimal pulse-taking pressure of cun,guan,chi pulse was positively correlated with BMI.The optimal pulse-taking pressure of guan and cun pulse was significantly smaller than that of chi pulse.The optimal pulse-taking pressure of cun pulse is similar to that of guan pulse,which was 90 percents of the chi pulse.Conclusion:There was significant difference in optimal pulse-taking pressure between cun,guan,chi pulse.The result was favourable to the optimizing the program of pulse device,consummating of three-probe pulse sensor and studying pulse thoroughly.
