Artificial intelligence exercise guidance auxiliary equipment for diabetic population

Abstract

The invention discloses artificial intelligence exercise guidance auxiliary equipment for diabetic population. The auxiliary equipment comprises a base, wherein the base is connected with an upper support column through a telescopic assembly, an obliquely arranged control panel is arranged at the top of the upper support column, a control cavity is formed in the control panel, a servo motor is arranged on the back of the control panel, the output end of the servo motor penetrates into the control cavity and is fixedly connected with an incomplete gear, and the incomplete gear is connected withtwo rotating shafts through an adjusting transmission assembly. By arranging the servo motor, the servo motor can drive two training discs to relatively rotate through the incomplete meshing gear, amoving frame, rotating gears and the rotating shafts, so that synchronization of two hands of a diabetic patient can be guaranteed during training, and auxiliary training of the diabetic patient is realized; and the servo motor can be used for controlling the training discs, and therefore, damage to the patient caused by centrifugal force generated by over-high rotating speed of the training discsis avoided.

Description

technical field [0001] The invention relates to the technical field of sports equipment, in particular to an artificial intelligence sports guidance auxiliary device for people with diabetes. Background technique [0002] Diabetes mellitus is a group of metabolic diseases characterized by hyperglycemia. The clinical symptoms are polydipsia, polyuria, polyphagia, weight loss, and fatigue. Quality of life declines, and acute complications are not treated in time, which can be life-threatening if serious; complications include diabetic ketoacidosis, diabetic hyperosmolar non-ketotic coma, diabetic retinopathy, diabetic foot, diabetic nephropathy, etc. [0003] In the follow-up treatment of diabetic patients, regular exercise: it is especially necessary to choose low-intensity aerobic exercise such as walking, jogging, Tai Chi, yoga, cycling, swimming, etc. Most people prone to diabetes are the elderly, the elderly It is inconvenient to move the body itself, and the existing tr...

AI Technical Summary

Problems solved by technology

[0003] In the follow-up treatment of diabetic patients, regular exercise: it is especially necessary to choose low-intensity aerobic exercise such as walking, jogging, Tai Chi, yoga, cycling, swimming, etc. Most people prone to diabetes are the elderly, the elderly It is inconvenient to move the body itself, and the existing training equipment has poor protection effect. The elderly cannot control the force when exercising through the equipment, and it is very easy to cause injury due to the loss of control of the equipment. Therefore, an artificial intelligence exercise for diabetics is now proposed. guidance aids

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