[Intelligent fault diagnosis expert system for multi-parameter monitor based on fault tree].

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.

[Intelligent fault diagnosis of medical equipment based on long short term memory network].

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.

Noninvasive real-time detection of cerebral blood perfusion in hemorrhagic shock rabbits based on whole-brain magnetic induction phase shift: an experimental study.

OBJECTIVE: This study aimed to perform experiments to investigate the change trend in brain magnetic induction phase shift (MIPS) during hemorrhagic shock of different degrees of severity and to find the correlation between brain MIPS value and commonly used physiological indicators for detecting shock so as to explore a noninvasive method suitable for prehospital real-time detection of cerebral blood perfusion in hemorrhagic shock. APPROACH: The self-developed MIPS detection system was used to monitor the brain MIPS value in the whole process of hemorrhagic shock models of rabbits with different degrees of severity (control, mild, moderate, and severe) of shock in real time. Meanwhile, common physiological parameters, including arterial blood lactate (ABL), mean arterial pressure (MAP), heart rate (HR),core body temperature (CBT), regional cerebral blood flow (rCBF), and electroencephalogram (EEG), were also evaluated. MAIN RESULTS: The findings suggested that the brain MIPS value showed a downward trend in the shock process, and the decline degree of the MIPS value positively correlated with the severity of shock. Moreover, it showed a good detection and resolution ability in time/process and severity (P < 0.05). The MIPS values significantly correlated with ABL (P < 0.01), CBT (P < 0.01), and EEG (P < 0.05) at all four shock levels; with MAP (P < 0.05) and rCBF (P < 0.05) in the control, moderate, and severe groups; and with HR (P < 0.01) only in the severe group. SIGNIFICANCE: The results demonstrated that the brain MIPS value has the capability of detecting hemorrhagic shock. The MIPS technique is a noninvasive method suitable for prehospital real-time detection of cerebral blood perfusion in hemorrhagic shock.

[The research on cardiac volume-time relationship based on retrospective electrocardiograph four-dimension computer tomography data collection and structured sparse algorithm].

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 ( P = 0.000); there are interactive effects between time and gender groups in left ventricle ( F = 8.597, P = 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 ( F = 9.004, P = 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.

A rapid infusion pump driven by micro electromagnetic linear actuation for pre-hospital intravenous fluid administration.

A rapid infusion pump with a maximum flow rate of 6 L/h was designed experimentally using a micro electromagnetic linear actuator, and its effectiveness was evaluated by comparing with that of a commercial Power Infuser under preset flow rates of 0.2, 2, and 6 L/h. The flow rate, air detection sensitivity, occlusion response time, quantitative determination of hemolysis, and power consumption of the infusion devices were extensively investigated using statistical analysis methods (p < 0.05). The experimental results revealed that the flow rate of the designed infusion pump was more stable and accurate, and the hemolysis was significantly less than that of the Power Infuser. The air detection sensitivity and the power consumption could be comparable to that of the Power Infuser except the occlusion response time. The favorable performance made the designed infusion pump a potential candidate for applications in pre-hospital fluid administration.

[Development and research of animal experimental cabin with ATM/LP and low oxygen and high carbon dioxide].

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.

[Experimental study of animal cabin with ATM/LP and low oxygen and high carbon dioxide].

OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

[Present application situation of medical consumble materials and the standard management].

This paper introduces the present application situation of medical consumable materials in consumption, use, quality control and computer management. It presents the concrete contents of standard management in quality guarantee, rules and regulations, and cost reduction.

[Development and actuality of patient monitoring products in our country].

A new specialty and trend of the clinical patient monitoring products have appeared. They include the consciousness of clinical monitoring, the product supply, the functional expansion, the application of new techniques in the patient monitoring and the development of the clinical information system (CIS).