Microwave Non-invasive Biomedical Detection Techiniques Research

Recently,Microwave detection technology for sensing and imaging for medical diagnosis is emerging as a low cost and low health risk alternative to the medical detection technologies.The advantages of microwave detection technique are portable,ease of use,low health risk,low cost implementation,low operational cost.Hence,microwave non-invasive detection technique offers a noninvasive way for the diagnosis of functional and pathological tissue conditions.Microwave non-invasive detection techniques can provide high accuracy detections at a very low energy consumption level,as the physical basis of this new technique is the detectable difference in dielectric properties of different tissues in body.In the study of microwave non-invasive technique,the method of eastablishing the detection system in the simulation is studied in this paper.After getting the signals received from the inside of the phantom,the method of processing these as-detected siagnals are studied.Also in the research of establishing microwave non-invasive biomedical detection system,the antennas used in the system and the experiment set up are studied in this paper.A signal processing method based on the EEMD algorithm is proposed to extract the effectiveness signal from the as-detected microwave signal directly.Anatomically realistic numerical breast model is developed based on magnetic resonance images(MRI).After getting the signals from the inside of the breast,the ensemble empirical mode decomposition algorithm is used to extract the tumor response from the asdetected signals directly without using the tumor-free model,and with this method a tumor with a diameter of 4 mm can detected successfully in different breast model.After obtaining the as-detected signals from 3D printerd MRI-derived breast phantom in the primary experimental system for tumor imaging,the effectiveness of the proposed direct tumor response extraction method is verified by detecting the tumor with a diameter of 10 mm successfully.In this paper,a non-invasive measurement of blood glucose concentration by UWB microwave spectrum is proposed.This method firstly arranges two antennas on both sides of the human earlobe to emit and receive the microwave signals,and applies the STFT algorithm to process the received signals to obtain the relationship between the signal energy and blood glucose concentration.The effectiveness of the proposed method is verified by the experiment set up.To simplify the realization of the microwave detection technology,a method of using single frequency microwave signals to detect the blood glucose concentration is proposed.The experimental system is also built to make some preliminary researches on blood glucose concentration detection by using the single frequency microwave signals.The reliability of the method is also confirmed by obtaining the regularity of the energy of experimental signals with the step of 20 mg/dl in the range of glucose concentration 0 mg/dl-500 mg/dl.At the same time,a noninvasive blood glucose level detection based on matrix pencil method and artificial neural network is proposed.This method is using the poles extracted by the matrix pencil method to be the input of the artificial neural network,then after training the designed artificial neural network the blood glucose concentration can be determined by this method.The highest error between the output of the ANN and the tested data is 0.2737%,which is in the acceptable range.This method is proposed to improve the precision of the microwave detection technology to 1 mg/dl.