Multi-dimensional automatic evaluation system for animal experiment operation

Abstract

The invention discloses a multi-dimensional automatic evaluation system for animal experiment operation. The multi-dimensional automatic evaluation system comprises a video acquisition unit, a physiological signal acquisition unit, a preprocessing unit, a classifier and a data analysis control unit, the video acquisition unit is used for acquiring video data in an experimental operation process; the physiological signal acquisition unit is used for acquiring a physiological signal of an animal body in an experimental operation process; the preprocessing unit is used for preprocessing the physiological signal; the classifier is used for carrying out type distinguishing on the physiological signal and sending the physiological signal subjected to type distinguishing to the data analysis control unit; and the data analysis control unit is used for receiving the video data sent by the video acquisition unit and the physiological signals sent by the classifier, generating an experiment operation evaluation report according to the video data and generating an experiment result evaluation report according to the physiological signal. According to the invention, automatic evaluation of experiment operation and experiment results of an experimenter is realized, and the evaluation efficiency is improved.

Description

technical field [0001] The invention belongs to the field of experimental operation assessment and automatic evaluation instruments, in particular to a multi-dimensional automatic evaluation system for animal experimental operations. Background technique [0002] Animal experiments, especially functional experiments, generally include "capturing and weighing", "anesthesia and immobilization", "skin preparation and endotracheal intubation", "separation of tissue", "carotid artery intubation", "Drug Injection Intervention," et al. When assessing and evaluating the animal experiments performed by students, the current traditional method can only judge the correctness and rationality of the students' operations manually. For example, each student needs an invigilator to record and evaluate on the spot, which is inefficient and Subjective differences, failure to comply with standardized evaluation standards and other issues lead to inaccurate evaluation of experimental assessmen...

AI Technical Summary

Problems solved by technology

However, compared with experiments in other fields, animal experiments in the medical field are particularly difficult to achieve accurate collection and automatic evaluation, because the physiological signals collected during animal experiments are complex and diverse, including different animal species and different physiological signals of animals type, and there are various noise interferences in the collected signals, and there is currently no technology for reasonable judgment and automatic evaluation of the collected physiological signals.

Images