ABSTRACT
Objective To investigate the infection of human parvovirus B19 in Suzhou voluntary blood donors under the current blood screening model. Methods A total of 893 blood donor samples from September to December 2022 were randomly collected. Samples were tested to determine the seroprevalence (anti-B19 IgG and IgM) of B19 antibodies by enzyme-linked immunosorbent assay(ELISA), and B19 DNA of positive samples was further detected by real-time polymerase chain reaction(PCR) assay. Results Among 893 samples, the total seroprevalence of B19 antibody was 20.7% (185/893), with anti-B19 IgG and IgM positive rate at 19.4% (173/893) and 1.9% (17/893), respectively, showing significant difference (P0.05). The prevalence of anti-B19 IgG statistically increased with age (P0.05). No statistical difference was not found in anti-B19 IgG and IgM samples among different blood groups. The anti-B19 IgG in repeated blood donors was higher than that in first-time donors(21.5% vs 15.9%)(P0.05). Three cases were found to be positive for B19 DNA in the B19 antibody positive samples, with the positive rate at 1.6%(3/185). Conclusion Although the prevalence of B19 infection in Suzhou was lower than that in other areas and was mostly past infection, there was still a certain proportion of persistent infection and acute infection, which posed the potential risk of blood transfusion transmission. Therefore, attention should be paid to blood transfusions, especially for the high-risk and susceptible groups.
ABSTRACT
This paper built the mathematical model of a centrifugal blood pump, which was designed by ourselves, combined it with that of the human cardiovascular system and simulated the coupling system using Matlab. Then we set up the experiment platform, linked the blood pump to mock human cardiovascular system in case of three-stage heart failure, and measured aortic pressure and flow under different speed. The comparison between experiment results and simulation results not only indicates the coupling model is correct and the blood pump works well, but also shows that with the increase of blood pump speed, the pulsation of aortic pressure and flow will be reduced, this situation will affect the structure and function of blood vessels.
Subject(s)
Humans , Cardiovascular System , Heart-Assist Devices , Hemodynamics , Models, TheoreticalABSTRACT
The purpose of this paper is to achieve a measurement of temperature prediction for artificial heart without sensor, for which the research briefly describes the application of back propagation neural network as well as the optimized, by genetic algorithm, BP network. Owing to the limit of environment after the artificial heart implanted, detectable parameters out of body are taken advantage of to predict the working temperature of the pump. Lastly, contrast is made to demonstrate the prediction result between BP neural network and genetically optimized BP network, by which indicates that the probability is 1.84% with the margin of error more than 1%.
Subject(s)
Heart, Artificial , Neural Networks, Computer , TemperatureABSTRACT
The purpose of this paper is to report the research and design of control system of magnetic coupling centrifugal blood pump in our laboratory, and to briefly describe the structure of the magnetic coupling centrifugal blood pump and principles of the body circulation model. The performance of blood pump is not only related to materials and structure, but also depends on the control algorithm. We studied the algorithm about motor current double-loop control for brushless DC motor. In order to make the algorithm adjust parameter change in different situations, we used the self-tuning fuzzy PI control algorithm and gave the details about how to design fuzzy rules. We mainly used Matlab Simulink to simulate the motor control system to test the performance of algorithm, and briefly introduced how to implement these algorithms in hardware system. Finally, by building the platform and conducting experiments, we proved that self-tuning fuzzy PI control algorithm could greatly improve both dynamic and static performance of blood pump and make the motor speed and the blood pump flow stable and adjustable.