This paper discussed the interference and noise of medical electronic device and their generation, hazard, depression and application, of which some ones are pointed out for the first time.

Objective To investigate the endoscopic and pathological characteristics of Barrett's esophagus (BE).Methods Data of 152 patients who were diagnosed as having BE with endoscopy and pathology were retrospectively analyzed.Results BE was most commonly seen in patients of 40-60 years old.The clinical manifestations overlapped in different patients,including regurgitation and heartburn in 78 (51.32%),dysphagia in 9 (5.92%),retrosternal pain in 12 (7.89%),upper abdominal pain or discomfort in 67 (44.08%),and asymptomatic in 8 (5.26%).Long segment BE (LSBE) was determined in 7 patients (4.61%),and short segment BE (SSBE) in 145 (95.39%).The metaplasia pattern under endoscopy included island like in 98 (64.47%),tongue like in 39 (25.66%) and circumferential in 15 (9.87%).Stratified squamous epithelia in the lower part of the esophagus were replaced by columnar epithelia in all cases,and intestinal metaplasia occurred in 68 cases (44.74 %).Conclusion BE is most frequently seen in the middle-aged and can be diagnosed by endoscopy and pathology without special clinical manifestations.Island pattern occurs in most cases and is with lowest rate of intestinal metaplasia,which is associated with age.Patients with specialized intestinal metaplasia and dysplasia should be followed up for surveillance of cancer.

Objective To compare the principles and performance of three Hough transform algorithms(standard Hough transform,gradient based Hough transform,and random Hough transform)in order to establish a suitable control basis for precise and rapid recognition of targets and acquisition of target center coordinates for craniocerebral puncture robots.Methods A simulation environment in MATLAB software was built to study and analyze image feature recognition,filtering,edge detection,cumulative voting and other processing engineering.Contour recognition and fitting of target circles were achieved in multiple scenarios before their center coordinates were obtained.The recognition and fitting performance of these algorithms was quantitatively compared.Finally,a better detection algorithm based on the actual environment of the craniocerebral puncture robot was determined.Results The standard Hough transform algorithm had the largest error between the mark circle and the target circle,and the running time of this algorithm was the longest due to large computation.The detection speed of the random Hough transform algorithm was lower than that of the gradient-based Hough transform algorithm,but the fitting accuracy was slightly better than that of the standard Hough transform algorithm.The speed and accuracy of circle fitting based on the gradient Hough transform algorithm had significant advantages over the other two.Conclusion The gradient based Hough transform algorithm is more suitable for obtaining the target center coordinates of the craniocerebral puncture robot system.