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  4. Improvement of Ryodoraku System and Analyses of Biophysical Signals Using the Wavelet Transform and Hilbert-Huang Transform
 
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Improvement of Ryodoraku System and Analyses of Biophysical Signals Using the Wavelet Transform and Hilbert-Huang Transform

Date Issued
2010
Date
2010
Author(s)
Chung, Tzu-Ming
URI
http://ntur.lib.ntu.edu.tw//handle/246246/250014
Abstract
Some research reported that the internal organic condition will reflect to external body surface. This reaction could be measured by the skin electric impedance of acupuncture points, that is, Ryodoraku Measurements. However, experiment error of humidity of electrolytic cotton in conducts and the unsteady pressure of reference conduct in traditional acupuncture instrument decrease reliability. My research improved traditional acupuncture instrument, and overcame the above-mentioned disadvantage. In the hardware, we replaced the conducts by electrode patch to steady the humidity of electrolytic cotton and pressure. Using the NI’s DAQ card, we could collect 24 Ryodoraku values from acupuncture points at once, each12 point of right and left side of body. In the software, the Ryodoraku values were analyzed by Labview which is Human Machine Interaction could automatically and instantaneously monitor the signals from NI’s DAQ card. In the biophysical signals of western medicine, my research takes account of non-invasive and easy-operated so I adopted EEG and ECG for the post processing. In the EEG, the decomposition of EEG depended on the feature of frequency band ofβ、α、θ and δ by using the multi-resolution analysis method. In the ECG, compared Wavelet transform with Hilbert-Huang transform, chose Hilbert-Huang transform to deal with ECG at last because the shape is complete and easy to analyze the feature of wave. Combined Ryodoraku Measurements in traditional Chinese medicine and biophysical signals analysis in western medicine, disease evaluation become instantaneously and more accurate. In the future, it can be better apply to preventive health care and home health care.
Subjects
skin electric impedance
Ryodoraku
electrode patch
DAQ card
EEG
ECG
Wavelet transform
Hilbert-Huang transform
SDGs

[SDGs]SDG3

Type
thesis
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ntu-99-R97543040-1.pdf

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