Basic Research On Diagnosis Of Lung Cancer Based On ECG Signal

The bioelectric phenomena of organisms and the impedance characteristics of biological tissues are inherent characteristics of organisms,both of them carry a wealth of physiological and pathological information.Although there have been many studies and achievements on both of them in recent years,there is no relevant research on the relationship between them and their impact.Based on the study of the ECG signal and the impedance characteristics of pulmonary tissue,this paper makes an initial research on the relationship between the two and proposes a new direction on the diagnosis of lung cancer.The main research work of this paper is as follows:First,we measured and analyzed the impedance characteristics of normal lung tissue and cancerous lung tissue respectively.Both of the cancerous part and the normal part of the lung tissue which were excised from the lung cancer patient were measured using the 4294 A Impedance Analyzer designed by Agilent.Through the quantitative analysis about the results and the comparison of different types of cancerous lung tissue impedance characteristics.We discovered significantly decrease on the resistance after the canceration of the lung tissue,and the electrical conductivity becomes larger.Simultaneously,the reactance characteristic of the cancer is closely related to the excitation current frequency,and the reactance characteristic changes obviously when the frequency changes.The reactance of the healthy lung tissue has 2 troughs with the increase of the excitation current frequency,but the reactance curve can only see 1 trough after the canceration,and the change of the relative dielectric constant curve of the two is not obvious.Second,we measured the electrocardiogram of a large number of patients with healthy heart and lungs and with heart health and lung cancer,and we also screened a large number of available data from the case database for analysis.As the problem that the ECG in the case library are all paper ECG,and the current hospital ECG cannot read digital information which is not conducive to the analysis,We explore a more appropriate method for image processing.For the problem that some electrocardiogram background grid or border is not clear,Hough Transform cannot complete tilt correction and the computation is too large when using Radon Transform.We combine the two together to optimize the tilt correction of ECG images.The Kalman filtering algorithm is introduced to optimize the image processing,which improves the reduction of the waveform recognition caused by the traditional algorithm.Third,we compared the difference of the precordial leads of ECG between lung cancer patients and healthy people.The left lower lobe adenocarcinoma,left lower lobe squamous cell carcinoma,left lower lobe small cell carcinoma,left lower lobe large cell carcinoma and healthy human samples were taken to measure their ECGs and their precordial leads were extracted for comparative analysis in this paper,and ECG lead measurement Put forward the direction of improvement.And we proposed the direction of improvement for the lead placement of ECG measurements in this study.