Upper limb rehabilitation training system and method based on depth vision

Abstract

The invention relates to an upper limb rehabilitation training system and method based on depth vision. The training system comprises a stereoscopic display device, a somatosensory monitoring device and a data processing and control device connected with the stereoscopic display device and the somatosensory monitoring device. The data processing and control device controls the stereoscopic displaydevice to display and update the training picture in which the object to be operated by the patient is separated from the background in the visual depth. The somatosensory monitoring device is used for measuring the spatial coordinates and posture of the upper limb training part of the patient, and transmitting the coordinates to the data processing and control device; the data processing and control device performs matching processing on the spatial coordinates of the part of the upper limb to be trained and the spatial coordinates of the target object on the patient vision, judges the validity of the posture, and controls the updating of the training picture of the stereoscopic display device according to the matching result and the validity of the posture. The invention not only enables the patient to obtain visual pleasure so as to be more involved in rehabilitation training of motor ability, but also enables the patient to carry out spatial positioning training.

Description

technical field [0001] The present invention relates to the technical field of upper limb rehabilitation training system, more specifically, to an upper limb rehabilitation training system and method based on depth vision, which is used to assist patients in rehabilitation training of shoulders, elbows, wrists, fingers and other parts. Background technique [0002] Stroke is a common brain disease in the elderly. In recent years, even middle-aged people have a tendency to occur frequently. Stroke patients often suffer from functional impairments in logical cognition and limb movement difficulties, which seriously affect the quality of life. At present, many medical workers and scientific researchers have carried out related research and medical practice. Feedback from practice shows that there are two problems in the existing rehabilitation training: 1. It is not very interesting. In medical rehabilitation, patients need to repeat a few simple body movements within a short ...

AI Technical Summary

Problems solved by technology

Feedback from practice shows that there are two problems in the existing rehabilitation training: 1. It is not very interesting. In medical rehabilitation, patients need to repeat a few simple body movements within a short period of time (for example, about half an hour). , it will make patients feel boring, so they can't focus on the training of rehabilitation exercises, and can only get twice the result with half the effort; ②The spatial indication and interactivity of training actions need to be strengthened. The conventional rehabilitation training uses a flat screen to display the targets that need to be operated. According to the prompts on the screen, the patient can accurately perform upper limb movements parallel to the body (such as raising the hand sideways, opening the arms, etc.), but can only make movements for vertical body movements (such as reaching out, raising the arms forward, etc.). The positioning operation cannot be implemented accurately, thus limiting the dimension of upper limb rehabilitation training

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