Digital multi-state balance training device

Abstract

The invention provides a digital multi-state balance training device. The device comprises a bed base, a bed frame and a bed board, wherein the bed board is divided into a back sliding board and a lower limb fixing board; the back sliding board is connected with the bed frame in a sliding manner and can move back and forth along the bed frame; a displacement sensor is arranged below the back sliding board; a left lower limb bracket and a right lower limb bracket are connected with the front end of the bed frame; a left lower limb bracket moving mechanism and a right lower limb bracket moving mechanism are arranged between the left lower limb bracket and the bed frame, and between the right lower limb bracket and the bed frame respectively; and a bed frame angle adjusting mechanism is arranged between the bed frame and the bed base. The digital multi-state balance training device is a device which integrates rehabilitation evaluation and rehabilitation training of static balance, and crouch and stand positive and negative dynamic balance functions of a patient, can perform in any inclination angle backside support weight loss state, and can realize visual feedback through a display device and a computer for the patient so as to perform training and evaluation.

Description

technical field [0001] The invention relates to a rehabilitation medical device, in particular to a digital multi-state balance training device. Background technique [0002] According to statistics, the annual incidence rates of cerebrovascular disease, Parkinson's disease, traumatic brain injury and spinal cord injury in my country are 219 / 100,000, 100 / 100,000, 55.4 / 100,000 and 6 / 100,000 respectively. And because of aging, frequent natural disasters and increased accidents, the incidence rate is still increasing year by year. These diseases and injuries can cause the patient's balance function, squat to stand dysfunction, and even disability. Taking the 3.2 to 4 million severely disabled patients with cerebrovascular disease as an example, dysfunction of balance function and squatting and standing are the main disability factors. Multiple evidence-based medical evidence shows that exercises including standing balance function, squatting to stand up and passive training f...

AI Technical Summary

Problems solved by technology

At present, the passive flexion and extension of the legs and alternate flexion and extension are mostly manually operated by the trainer, which is time-consuming, laborious, and costly to treat. In terms of weight loss, most of them use suspension equipment for weight loss training, and the suspension equipment uses suspension belts. Pulling the patient's weight upward requires restraining the patient's trunk, which is likely to cause discomfort to the patient and the operation is cumbersome

[0006] The current passive training products still have the characteristics of lack of personalized training. For patients with tall and short stature, unified lower limb training products are used, which causes some patients to fail to achieve the training process, or the training intensity is too high, causing certain damage to the patients.

[0007] In addition, previous functional training products often lack gamification training and visual feedback, so that patients and equipment cannot interact, so that the training does not arouse the interest of the patient, and the patient lacks confidence in the training

This kind of long-term and tedious training will affect the patient's rehabilitation process, resulting in unsatisfactory rehabilitation effect

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