Research On Diagnosis Information Imaging For Mcg-recordings

In 1972, D.Cohen detected human magnetic signal by using a SQUID in magnetic shield room, leading us to a new way of non-invasive heart measurement. The advantages of MCG measurement are completely non-invasive, non-contact, it needs no electrode, so the patient will not be affected by any radial, external magnetic field and nucleus trail injection. Cardiac magnetic field of the ion moving between the cells of cardiac muscle can be recorded by superconductive technology, it can reveal the inbeing of cardiac bioelectricity. So MCG is one of the heart disease diagnosis methods which have bright future.This dissertation studies current density map of heart signals and chaos attractors, the followings are studied:1. Based on the former research, study the imaging methods of the heart current density map and composed current vectorgraph. By drawing several patients current density map and composed current vectorgraph analyze the relationship between their diseases and magnetocarodigram. Develop the visual interface drawing both dynamic and static MCG.2. Based on the former research, study the relationship of medical information got from single point and composed current vectorgraph by drawing the chaos attractor map. If we find the right point, single point may contain diagnosis information we need.3. By accounting relative degree and relative matrix, study the relation between 36 heart signals and composed current vectorgraph which can reflect the characteristic of the heart. Although all the 36 signals are relative to the compositive signal, the measure points near the middle of the heart have greater contribution to the general characteristic of the heart.4. Based on the former research, preprocess the heart signal, counterpoise the multi-period data into single-period data, and make a GUI module for this function by using MATLAB GUI.