Object size recognition platform and method in general surgery ward

Abstract

The invention relates to a general surgery ward object size identification platform. The platform includes: a parameter measurement device, used to obtain the real-time depth of field of the bed object corresponding to the bed area in the targeted processed image, and is also used to obtain the The maximum length and maximum width of the bed area; a signal conversion device for estimating the maximum estimated area occupied by the bed object based on the instant depth of field, the maximum length and the maximum width; and a content analysis device for estimating the maximum estimated area occupied by the bed object based on the instant depth of field, the maximum length and the maximum width; The relationship between the ratio of the maximum estimated area to the usable area of ​​the ward where the bed is located and the preset proportion range determines whether the bed object is suitable for placement in the ward. The general surgery ward object size identification platform of the present invention is easy to operate and has a compact structure.

Description

Technical field [0001] The invention relates to the medical field, in particular to a platform and method for identifying the size of objects in general surgery wards. Background technique [0002] Department of general surgery is a clinical discipline that treats liver, biliary tract, pancreas, gastrointestinal, anorectal, vascular diseases, thyroid and breast tumors, trauma and other diseases with surgery as the main method. The patient needs to be treated immediately after surgery. Arrange to go to the ward for rehabilitation. However, due to the tight medical resources, the ward is very tight. If more hospital beds can be reasonably arranged in the ward, it is expected to receive and treat more patients. At present, due to the different sizes of ward spaces and different bed sizes for hospital beds, there is a lack of relevant placement reference data between the two, which easily causes the remaining space of the ward to be too large or too small after the bed is placed. T...

AI Technical Summary

Problems solved by technology

At present, due to the different sizes of ward space and different bed sizes, there is a lack of relevant placement reference data between the two, which may easily cause the remaining space of the ward to be too large or too small after the bed is placed, and the former wastes precious time. Ward space, which makes it difficult for objects (such as other treatment equipment) to be placed in the ward

Images