RESUMEN
The combination of biochemistry analyzer and medical expert system was proposed in this report. Biochemistry analyzer is one of the most important analytical instrument used in clinical detection. It could take immunological examination and biochemical analysis for blood, urine, pleural effusion and cerebrospinal fluid and other body fluids. Medical expert system is an intelligent program system with knowledge and experience of a large number of medical specialists. It could use the knowledge and method of medical experts to solve and deal with problems in the field. This system mainly includes human interface, inference engine, interpreter, knowledge acquisition procedures, integrated database and knowledge base. Some parts of system design, such as the expression and design, and interpretation mechanism of the knowledge base, have been interpreted in details. It adopts production as an expression of knowledge. Generally, knowledge was expressed as if the conditions, then the conclusion form. Interpretation mechanism use the error counter propagation of neural network to train the algorithm (BP algorithm for short).The combination could automatically conduct comprehensive analysis of various data generated by the instruments, and then obtain the science theoretical foundation and the most reasonable specialist conclusions. This report provides an overview of the system design of medical expert system.
RESUMEN
Objective:To design the liquid level detection system by ultrasonic method to meet the requirements of automatic enzyme immunoassay workstations and have a precise detection of liquid level. Methods:Because the existing sample needle should move down, liquid surface and the poor conductivity of liquid were invalid. So a method of ultrasonic liquid level detection system was designed. The control signal was launched by a microprocessor to control ultrasonic signal generator chip and the ultrasonic signal reflected when the liquid level in a test tube or microplate. Results: By receiving the reflection echo signal sent to the microprocessor for signal processing, the liquid level was detected. Conclusion: The ultrasonic method applied to the liquid level detection system to overcome the above shortcomings, improve pipetting accuracy and avoid cross pollution, so as to meet the requirement of the automatic enzyme immunoassay workstation test.