A virtual reality cerebral apoplexy upper limb rehabilitation training system and control method

Abstract

The invention belongs to the technical field of medical rehabilitation, and discloses a virtual reality cerebral apoplexy upper limb rehabilitation training system and a control method. The system includes: a scene construction module, an action data acquisition module, a parameter configuration module, a central control module, an expert diagnosis module, and a rehabilitation reminder module, massage module, VR display module, training data generation module. The present invention compares the rehabilitation plan made by the medical staff with the stored rehabilitation plan through the rehabilitation reminding module, stores the rehabilitation plan and sets a preset reminder time when no conflict occurs, which helps to ensure the accuracy of the rehabilitation plan formulation Accuracy, and then by reminding patients at the preset reminder time, the execution efficiency and accuracy of the rehabilitation plan can be improved; at the same time, virtual training can be realized through the scene building module, action data acquisition module, and VR display module, reducing the space occupied by training equipment , Enrich training methods and improve the effect of rehabilitation training.

Description

technical field [0001] The invention belongs to the technical field of medical rehabilitation, and in particular relates to a virtual reality stroke upper limb rehabilitation training system and a control method. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Cerebral stroke is a group of diseases with cerebral ischemia and hemorrhagic injury symptoms as the main clinical manifestations, also known as stroke or cerebrovascular accident. Intracerebral hemorrhage or subarachnoid hemorrhage) and ischemic stroke (cerebral infarction, cerebral thrombosis) two categories, with cerebral infarction the most common. Stroke is one of the most important fatal diseases in the world, with acute onset and high mortality. The mortality rate of stroke also tends to increase with age. Due to the lack of effective treatment measures, prevention is currently considered the best measure. Therefore, strengthening the ...

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Problems solved by technology

[0006] The existing stroke upper limb rehabilitation training is manually notified and reminded by medical staff, which is inefficient and prone to problems such as rehabilitation plan formulation conflicts, wrong notifications, missing notifications, and execution errors, resulting in waste of rehabilitation medical resources and even delayed treatment ; At the same time, the cost of existing rehabilitation training equipment is high, occupying a large space, and the training method is single

[0007] In the prior art, the stereo or virtual vision method requires less calculation, but there are blank areas in the disparity map obtained in the flat area of ​​the image texture, so the density of the calculated point cloud is very low; the motion structure method has a higher general Adaptability, which includes the derivation process from sparse point cloud to dense point cloud, but the density of the obtained dense point cloud still depends on the texture complexity of the image. For images with flat texture, the density of the obtained point cloud is also relatively low; The reconstruction method based on the depth image has high precision and does not require the complexity of the texture of the image. However, this method is not very sensitive to the accuracy of the depth camera and is currently not suitable for 3D reconstruction of virtual objects.

[0008] In the existing configuration of rehabilitation training parameter signals, the classification accuracy is low, and accurate related parameters cannot be obtained, which cannot provide a basis for training programs

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