With the widespread use of smart phones, mobile medical class of applications use more widely. The regulation for medical applications is in the offing in domestic. How to effectively regulate such software to control its risks for patients is needed to solve. In this paper, the status of such simple software monitoring in domestic and abroad is analyzed, some problems of domestic mobile medical applications are summarized and some recommendations are proposed for the relevant departments.
Mobile Applications ; Smartphone

With the rapid development of society and the increasing improvement of living standard,people shows increasing demand for high quality of medical care so that more and more advanced medical instruments are applied to disease prevention,diagnosis and treatment.Thanks to the development of the professional medical technology,a new branch of medicine-clinical engineering has emerged.The history,current situation and future development of clinical engineering are mainly expounded.

The present paper is to evaluate the scientific research level and development trends of biomedical engineering in China using metrology analysis on Chinese biomedical engineering scientific literatures. Pubmed is used to search the biomedical engineering publications in recent 5 years which are indexed by Science Citation Index, and the number and cited times of these publications and the impact factor of the journals are analyzed. The results show that comparing with the world, although the number of the publication in China has increased in recent 5 years, there is still much room for improvement. Among Chinese mainland, Hongkong and Taiwan, Chinese mainland maintains the obvious advantage in this subject, but Hongkong has the highest average cited number. Shanghai and Beijing have better research ability than other areas in Chinese mainland.
Bibliometrics ; Biomedical Engineering ; China ; Hong Kong ; Journal Impact Factor ; Periodicals as Topic ; PubMed ; Taiwan

Objective: Evaluate the influence of monochrome LCDs with different resolutions for the quality of detail imaging and detection performance of lesions. Methods: 93 DR chest images were selected from PACS on-line, including 38 positive cases, 32 suspected cases and 23 normal cases. The positive cases were divided into two groups A and B according the diameter of pulmonary nodules. Three of high-, mid-and low-experienced radiologists interpreted the 93 images on three types of displays independently. Each observer marked their confidence of the presence of pulmonary nodule with five-point rating scale : (1)definitely absent, (2)probably absent, (3)possibly present, (4)probably present and (5)definitely present, and the visual quality of lung markings with three-point rating scale:(1) excellent, (2)free, (3) inferior. Software SPSS 13.0 was used to analyze the results. Results: For the detection performance of lesion, while detecting nodules of Group A, the areas under ROC curves were 0.643、0.686、0.739 on 2MP、3MP and 3MP display for high-experienced radiologist. Those were 0.636、0.682、0.717 for mid-experienced radiologist and 0.623、0.656、0.721 for low-experienced radiologist; while detecting nodules of Group B, those were 0.813、0.832、0.846 for high-experienced d radiologist, 0.773、0.824、0.838 for mid-experienced radiologist and 0.763、 0.7.73、0.833 for low-experienced radiologist. There were no significant differences among detection performance ofradiodiagnostic systems. For the quality of detail imaging, while interpreting the visualization of lung markings, the difference between high-and mid-experienced radiologist or between high-and low-experienced radiologist on 5MP display was conspicuous (P<0.05). But the differences of other comparisons did not reach the significant level. Conclusions: For the detection performance ofpulmouary nodules, it is comparable among different radiodiagnostic systems; for the visualization of lung markings, high-experienced radiologist could get more information on 5MP display.

This paper introduces the method of mixed programming with Labview and Matlab, and applies this method in a pulse wave pre-processing and feature detecting system. The method has been proved suitable, efficient and accurate, which has provided a new kind of approach for biomedical signal analysis.
Heart Rate ; Signal Processing, Computer-Assisted ; instrumentation ; Software

Objective Through the research of the disposal of clinic laboratory result information,the paper explore the methods of building up laboratory's online management system and network information system.Methods This project began with the analysis of the need of laboratory and applies computer to simulate the manual disposal process.The system framework was separated into many sub parts according to its function.VB,etc were used to program.Results The project has been gained successfully in the online managemert of two analyzers and the management of data network consisting of three laboratories.Conclusion The project has established a practical and reliable in-formation management system which matches the work mode in clinical laboratory and has novelty functions.

Retinal vascular function is complex, morphological structure varies from person to person, and is susceptible to vascular diseases and systemic vascular diseases. Its accurate segmentation is of great significance for disease diagnosis and identification. In this paper, a multi-scale matching filtering algorithm is proposed for the uneven size of retinal blood vessels. On the basis of the traditional singlescale Gaussian matching filter, multiscale Gaussian matched filters with two sizes are used to enhance grayscale images. Enhancement is performed, and the superimposed image is binarized using a twodimensional maximum entropy threshold segmentation algorithm. The algorithm is tested in the DRIVE database with sensitivity, specificity and accuracy of 0.803, 0.959, 0.981, respectively. Comparing with the traditional algorithm, the algorithm has high sensitivity, fast running speed and rich details of segmentation results.
Algorithms ; Entropy ; Humans ; Image Processing, Computer-Assisted ; Retinal Vessels/diagnostic imaging*

OBJECTIVE: According to the digital image features of corneal opacity, a multi classification model of support vector machine (SVM) was established to explore the objective quantification method of corneal opacity. METHODS: The cornea digital images of dead pigs were collected, part of the color features and texture features were extracted according to the previous experience, and the SVM multi classification model was established. The test results of the model were evaluated by precision, sensitivity and RESULTS: In the classification of corneal opacity, the highest CONCLUSIONS The SVM multi classification model can classify the degree of corneal opacity.
Animals ; Corneal Opacity ; Support Vector Machine ; Swine

OBJECTIVE: Identifying Atrial Ventricular Hypertrophy Electrocardiogram (AVH ECG)and diagnosing the classification of theirs automatically. METHODS: The ECG data used in this experiment was collected from the First Affiliated Hospital of China Medical University. CNN are combined with conventional methods and a 10 layers of one dimensional CNN are created in this experiment to extract the features of ECG signals automatically and achieve the function of classifying. ROC, sensitivity and F1-score are used here to evaluate the effects of the model. RESULTS: In the experiment of identifying AVH ECG, the AUC of test dataset is 0.991, while in the experiment of classifying AVH ECG, the maximal F1-score can reach 0.992. CONCLUSIONS The CNN model created in this experiment can achieve the auxiliary diagnosis of AVH ECG.
China ; Electrocardiography ; Heart Atria/pathology* ; Humans ; Hypertrophy ; Neural Networks, Computer