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Aiming at the dilemma of expensive and difficult maintenance, lack of technical data and insufficient maintenance force for modern medical equipment, an intelligent fault diagnosis expert system of multi-parameter monitor based on fault tree was proposed in this study. Firstly, the fault tree of multi-parameter monitor was established and analyzed qualitatively and quantitatively, then based on the analysis results of fault tree, the expert system knowledge base and inference engine were constructed and the overall framework of the system was determined, finally the intelligent fault diagnosis expert system for multi-parameter monitor was developed by using the page hypertext preprocessor (PHP) language, with an accuracy rate of 80% in fault diagnosis. The results showed that technology fusion on the basis of fault tree and expert system can effectively realize intelligent fault diagnosis of multi-parameter monitors and provide troubleshooting suggestions, which can not only provide experience accumulation for fault diagnosis of multi-parameter monitors, but also provide a new idea and technical support for fault diagnosis of medical equipment.
Subject(s)
Expert Systems , Monitoring, PhysiologicABSTRACT
In order to solve the current problems in medical equipment maintenance, this study proposed an intelligent fault diagnosis method for medical equipment based on long short term memory network(LSTM). Firstly, in the case of no circuit drawings and unknown circuit board signal direction, the symptom phenomenon and port electrical signal of 7 different fault categories were collected, and the feature coding, normalization, fusion and screening were preprocessed. Then, the intelligent fault diagnosis model was built based on LSTM, and the fused and screened multi-modal features were used to carry out the fault diagnosis classification and identification experiment. The results were compared with those using port electrical signal, symptom phenomenon and the fusion of the two types. In addition, the fault diagnosis algorithm was compared with BP neural network (BPNN), recurrent neural network (RNN) and convolution neural network (CNN). The results show that based on the fused and screened multi-modal features, the average classification accuracy of LSTM algorithm model reaches 0.970 9, which is higher than that of using port electrical signal alone, symptom phenomenon alone or the fusion of the two types. It also has higher accuracy than BPNN, RNN and CNN, which provides a relatively feasible new idea for intelligent fault diagnosis of similar equipment.
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Algorithms , Electricity , Memory, Short-Term , Neural Networks, ComputerABSTRACT
This paper explores the relationship between the cardiac volume and time, which is applied to control dynamic heart phantom. We selected 50 patients to collect their cardiac computed tomography angiography (CTA) images, which have 20 points in time series CTA images using retrospective electrocardiograph gating, and measure the volume of four chamber in 20-time points with cardiac function analysis software. Then we grouped patients by gender, age, weight, height, heartbeat, and utilize repeated measurement design to conduct statistical analyses. We proposed structured sparse learning to estimate the mathematic expression of cardiac volume variation. The research indicates that all patients' groups are statistically significant in time factor ( = 0.000); there are interactive effects between time and gender groups in left ventricle ( = 8.597, = 0.006) while no interactive effects in other chambers with the remaining groups; and the different weight groups' volume is statistically significant in right ventricle ( = 9.004, = 0.005) while no statistical significance in other chambers with remaining groups. The accuracy of cardiac volume and time relationship utilizing structured sparse learning is close to the least square method, but the former's expression is more concise and more robust. The number of nonzero basic function of the structured sparse model is just 2.2 percent of that of least square model. Hence, the work provides more the accurate and concise expression of the cardiac for cardiac motion simulation.
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Objective:To establish the emergency medical equipment rental center, not only can reduce the repeated purchase for medical equipment, but also can achieve resource sharing, reduce equipment maintenance cost, and improve utilization efficiency.Methods: To establish emergency medical equipment rental center, which adopted lease mode and centralized management mode to use equipment. Department of medical engineering managed this center and this department is responsible to ensure every clinical department can use equipment by lease method.Results: The center has optimized the resource allocation of hospital, obviously reduced equipment input cost, improved utilization rate of medical facility since it were established. This mode provided reliable service for clinical departments.Conclusion: The established rental center of emergency medical equipment has changed the traditional management mode to a new feasible mode which can improve centralized management for medical devices, reduce waste for medical resource and achieve resource sharing.
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Objective:To develop a wearable electro-therapeutic apparatus for chronic soft tissue lesion, which used low frequency electric pulse to treatment the shoulder, back and waist of human body.Methods: The fabric electrodes are fixed on specific position of the elastic vest. The vest elasticity ensures that the electrode and the users are in close contact. MSP430 microcontroller is used as the core of control board. Low frequency pulses for treatment are generated by PWM mode of MSP430 Timer1, then pass through the power amplifier and are added to human body by fabric electrodes. Meanwhile the impedance between electrodes is monitored to avoid the striking fire burns the skin of the human body and ensure user’s safety. The wireless data communication and control between intelligent mobile phone and MSP430 microcontroller are achieved by Bluetooth technology.Results:The developed wearable electrotherapy instrument is easy to operate, safe and reliable, convenient for the daily busy office workers treatment and rehabilitation in working time.Conclusion: It is very fitful for long-term therapy and save the time.
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This paper developed an experimental animal cabin with ATM/LP and low oxygen and high carbon dioxide. It is based on the unitized design of modern transmission technology, industrial measurement modules and configuration software. The cabin successfully simulated an enclosed environment of low oxygen and high carbon dioxide at constant pressure, automatically measured and controlled the concentrations of oxygen and carbon dioxide as well as temperature and humidity in the cabin for the first time. The system provided a technology platform for the equipment supporting clinical COPD study. The result is accurate, stable and reliable and can realize automatic measurement and control of cross. The clinical applications show that the cabin with accurate measurement and control is practical and reliable.
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Animals , Animal Use Alternatives , Biosensing Techniques , Carbon Dioxide , Metabolism , Environment, Controlled , Equipment Design , Hypoxia , Oxygen , Sleep Apnea SyndromesABSTRACT
<p><b>OBJECTIVE</b>To explore the feasibility of the animal experimental cabin to copy the animal models with ATM/LP and low oxygen and high carbon dioxide environment.</p><p><b>METHODS</b>60 SPF-class male SD rats were divided into two groups, 20 for normobaric hypoxia control experiments and the other 40 for hypobaric hypoxia control experiments. For each group, examine the pulmonary arterial pressure and carotid arterial pressure indicators of rats by using the multi-detector measurement of physiological, and observe the pulmonary vascular changes in the structure.</p><p><b>RESULTS</b>The ATM/LP and low oxygen and high carbon dioxide environment can promote the formation of pulmonary hypertension and accelerate changes in pulmonary vascular remodeling, promoting right ventricular hypertrophy.</p><p><b>CONCLUSION</b>Clinical applications showed that the animal experimental cabin was observing and controlling accurately, safe, reliable, and the results was reproducible. It can successfully copy the regular low-pressure hypoxia and hypercapnia environment pulmonary hypertension model, in order to study the physiological mechanism of a variety of circulation and respiratory diseases caused by oxygen-poor and provide an experimental technology platform.</p>
Subject(s)
Animals , Male , Rats , Carbon Dioxide , Metabolism , Disease Models, Animal , Environment, Controlled , Equipment Design , Hypoxia , Oxygen , Metabolism , Sleep Apnea SyndromesABSTRACT
In order to supply a gap of PACS which is unidirectional,frame transmission and lag,a demonstration and teaching system which can be used as the tech support of the academic exchanging,teaching,studying,and emulating on spot is developed.By this,the medical audio and video signals and images including the video of the operation process,the images from endoscopes,electron microscopes,and the pathological images etc.in the clinical buildings and in the terminal units including research and teaching(training and exchanging) centers,lecture theaters and the director's offices etc.can be transmitted synchronously and bi-directionally in real time.
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This paper introduces the design and application of cost accounting system for large medical equipment.It is very important in innovation management of large medical equipment.
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This paper introduces the design,function implementation of the costbenefit analysis of large medical equipment in HIS.The modern economic management of large medical equipment has been accomplished partly through this system.
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This paper introduces the costbenefit analysis of large medical equipments in HIS. Modern economic management of large medical equipments has been accomplished partly.
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According to the present situation on purchase, management and the use of medical consumables materials, medical consumables catalogue is compiled, bound and allocated to the institution and other offices, thus making the purchase information open and clean, the management standardized. It is proved to be feasible.
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The feature of HPM(high-power microwave) and its effect are briefly introduced.The destroying mechanism of HPM to different electronic medical equipment is described in detail.The reinforcement of HPM and effective measures are discussed.It is crucial to study the effects of high-power microwave radiation on military electronic equipment due to wide application of HPM in future military actions.
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The running cost of medical equipment embodies in every stage of the whole process of the equipment using. The control of the running cost in procurement phase is discussed in four aspects: chemical reagent, maintenance, training and quantity control, i.e. controlling the running cost in the beginning. This is a good method for controlling the running cost.
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Objective In order to realize the real time collection of the data related to the usage of medical equipment, input of the running cost and the cost-benefit analysis, the software with the cost-benefit analysis of medical equipment is developed. Methods On the basis of No.1 Military Medical Project, the software was interlinked to the subsystem of it such as the pricing system, paying system and report system etc. Results The evaluation system of management of medical equipment was established based on the income of large-scale medical equipment and expendables, the running cost, the ratio of cost -benefit, the evaluation. Conclusion The scientific and standard management of medical equipment is accelerated with strengthening the information management of medical equipment.
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According to the actuality of domestic medical equipment management and its main problems, development tendency of current equipment management are analyzed in four aspects of the norms of medical equipment management standards and details, the expansion of medical equipment information management in whole course, attention to medical engineering disciplines, and strengthening the quality control of medical equipment and application of security technology.