改善良導絡系統與小波轉換和希爾伯特黃轉換處理生理訊號

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

鐘子茗(Tzu-Ming Chung)

指導教授 ： 陳兆勛

國立臺灣大學/工學院/應用力學研究所/碩士(2010年)

https://doi.org/10.6342/NTU.2010.00767

摘要

從過去的文獻可知，當身體內臟腑產生病變時，會在體表反應出來，而這個反應機制是藉由量測各個穴位的皮膚電阻抗，依量測數值的大小，可以推測每個臟腑的運作情形，是否有病症的存在，這就是所謂的良導絡測定。對於傳統的良導絡量測儀，因為其測定導子的電解棉的濕潤度和參考電位導子的壓力不固定，讓所量測時容易造成誤差，使得良導絡的可信度降低。
本研究之目的首先為改善上述的幾個缺點，以改良的良導絡系統量測。在硬體方面，使用電極貼片來代替測定導子，使電解棉的濕潤度和測試壓力恆定，並利用NI(National Instrument)的DAQ卡來擷取訊號，來達到24點的同步量測，可即時的觀測到左右12經絡點共24經絡穴位點的良導絡值。在軟體設計方面，搭配Labview的人機操作介面，在DAQ卡擷取資料後，做一個自動即時偵測的量測功能。
在西方醫學的生理訊號，本研究考量非侵入性且操作容易，所以採用腦電圖和心電圖來後置處理。在腦電圖方面，使用小波轉換的多分辨分析的概念，將腦電訊號依照β、α、θ和δ的各個特徵頻帶來做多分辨分析的分解。在心電圖方面，比較小波轉換和希爾伯特黃轉換的處理效果，最後選擇希爾伯特黃轉換來處理心電訊號，因經處理完的心電訊號具有完整性，方便判讀波型特徵。
最後，將中醫上良導絡的理論和西醫上的生理訊號量測診斷，搭配著參考診斷，相輔相成，讓良導絡的病症判斷更準確，做一個治療上的輔助，若在身體有些微的病狀時做一個預防的保健醫療保養。

關鍵字

皮膚電阻 ； 良導絡 ； 電極貼片 ； DAQ卡 ； Labview ； 腦電圖 ； 心電圖 ； 小波轉換 ； 希爾伯特黃轉換

並列摘要

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.

並列關鍵字

skin electric impedance ； Ryodoraku ； electrode patch ； DAQ card ； Labview ； EEG ； ECG ； Wavelet transform ； Hilbert-Huang transform

參考文獻

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