Research On Acupuncture Process Detection Based On Electrical Impedance Imaging

Meridian acupoint theory is an important part of TCM and has unique treatment methods,but there is currently no objective scientific explanation of the principle of acupuncture point treatment.Researchers continue to make modern scientific methods study the theory of meridian acupuncture points.Some researchers have found that during acupuncture,the electrical properties of meridian points will change,showing low electrical impedance.This is of great significance for revealing the role of acupuncture meridian acupuncture points and the scientific and objective laws behind the treatment principle.At present,the impedance measuring instrument for meridian points can only measure the data of one acupuncture point,which represents the average impedance around the meridian points,does not have spatial resolution ability,and is generally static measurement,and it is difficult to detect the dynamic change of acupoint impedance in the process of acupuncture meridian points in real time.Electrical impedance imaging has the characteristics of no radiation,fast response,low price,etc.,can detect the dynamic changes of objects in real time,and has achieved many major research results in the medical field,and has been widely used,such as the detection of lungs,brain and other diseases.In this paper,the dynamic range and sensitivity,sensitivity matrix,reconstructed image and its relative error and correlation coefficient of boundary voltage values under different excitation modes in electrical impedance imaging are analyzed.The comprehensive analysis shows that the adjacent electrode excitation is better than other excitation modes,which provides a theoretical basis for the selection of excitation mode.The advantages and limitations of various imaging algorithms are analyzed,the images of single and multiple substances in the field are reconstructed by using each imaging algorithm,and the relative error and correlation coefficient of the reconstructed image of various imaging algorithms are calculated,and the quality of the reconstructed image obtained by the TV algorithm is higher than that of several other image reconstruction algorithms,and the image reconstruction of single and multiple substances can better reflect the contour of the measured object,and the relative error of the reconstructed image is lower and the correlation coefficient is high.In the three-dimensional space to establish a simulation model,the simulated acupuncture point in the surrounding tissue presents low impedance,it is analyzed as a high conductivity sphere,using three-dimensional EIT technology,the electrode is divided into two layers,each layer of 16 electrodes,in the adjacent excitation mode,using Gauss Newton method(GN)to reconstruct the image of different sphere sizes,and it is concluded that the sphere can better reflect the spatial distribution of the sphere in a larger situation.If the sphere is small,the spatial distribution of the sphere cannot be reflected,and the range area of acupuncture points cannot be determined.In view of the case of electroacupuncture,the traditional EIT detection is more difficult,a method of using electroacupuncture as an excitation source,evenly spreading 16 electrodes around as detection electrodes,and establishing a simulation model according to the conductivity of actual human tissue,using electroacupuncture at different depths and the change of spheroid position will make the simulated voltage value of the detection electrode change,and the relationship between the simulated voltage value of each detection electrode and the three-dimensional position of the sphere is established through the back propagation neural network.Through training,the network model can better predict whether the electroacupuncture is inserted into the sphere position.