Research On Meridian Diagnositic Data Visualization Methods Based On The Bioelectrical Impedance Measuring Principle

As a non-destructive testing technology, bioelectrical impedance measurement hasbeen widely used in biomedical field, while measuring electrical impedance of meridianand acupuncture points, as a research direction of bioelectrical impedance measurements,has important theoretical significance and clinical value. According to Chinese medicinetheory, acupuncture points can reflect the physiological or pathological features of thehuman body, which make them become the mainly study content in the filed of themeridian and acupuncture points research. Therefore, application of bioelectricalimpedance measurement technique, an impedance measuring system was developed inthis paper. The Well, Source and Sea acupuncture points were chosen as detection points,the electrical impedance characteristics of meridian and acupuncture points wasinvestigated with this system and the meridian diagnostic data visualization method wasproposed, which not only offer a new method for meridian diagnosis, but also load thefoundation for the further study the relationships between the electrical impedancecharacteristics of meridian and acupuncture points and the diseases of the human body.Firstly, an impedance measuring system was designed and constructed based on thebioelcetrical impedance measuring principle, and the hardware and software designs werealso completed. The system supported DC and AC measuring modes with high accuracyand good stability, and the software design had great expandability. For the impedancemeasurement, the signal spectrum and noise spectrum having great overlap, so a newwavelet threshold denoising function was structured. Compared with soft- andhard-thresholding function, the new thresholding function overcome the discontinuity ofthe hard-thresholding method and reduced the fixed deviation between the estimatedwavelet coefficients and the decomposed wavelet coefficients of the soft-thresholdingmethod, it was more elastic than soft- and hard-thresholding function. The newthresholding function was used to impedance data processing, and the desired results wereobtained.Secondly, research on the meridian diagnostic data visualization method based on DCcharacteristics of the meridian and acupuncture points. The diganostic data of the acupuncture points represented by the multidimensional chart was proposed, and thediagnostic results visualization was achieved. The Source points were chosen asmeasuring point in the experiment, and a case was analyzed, the results showed that thediagnostic results were consistent with the symptoms of the patient. The impedance datadisplayed through the color image was proposed, different colors represented differentresistivity to reflect different information of acupuncture points, and then the health stateof human body was infered. Principal component analysis was used to extract the meridiancharacteristics and BP neural network was used to achieve the identification of themeridian characteristic parameters. The sub-health people were chosen as research objectsin the experiment, and the results showed that the samples could be identified effectivelywith this method.Lastly, research on the meridian diagnostic data visualization method based onimpedance spectrum characteristics. The least squares method was used to extract theparameters of the Cole-Cole model, Quchi and its control point were chosen as measuringpoints, and the impedance spectral characteristics of the meridian and acupuncture pointswas studied. Based on this, a method of meridian diagnostic data visualization wasproposed, which achieved the visualization of the multi-points, multi-frequencymeasurements of the impedance data. The single frequency impedance characteristicscould be studied through image cutting. The experimental results showed that the methodnot only achieved the high dimensional impedance data visualization, but alsodistinguished effectively between healthy samples and disease samples.