Virtual reality cerebral apoplexy upper limb rehabilitation training system and control method thereof

Abstract

The invention belongs to the field of medical rehabilitation technology, and discloses a virtual reality cerebral apoplexy upper limb rehabilitation training system and a control method thereof. The system comprises a scene constructing module, an action data acquisition module, a parameter configuring module, a central control module, an expert diagnosis module, a rehabilitation reminding module,a massage module, a VR displaying module and a training data generating module. According to the system of the invention, a rehabilitation plan which is made by medical caring personnel is compared with a stored rehabilitation plan through the rehabilitation reminding module; on the condition of no conflict, the rehabilitation plan is stored and preset reminding time is set, thereby facilitatingaccuracy in making the rehabilitation plan; furthermore through reminding a patient at preset reminding time, executing efficiency and accuracy of the rehabilitation plan can be improved; and furthermore virtual training can be realized through the scene constructing module, the action data acquisition module and the VR displaying module. The virtual reality cerebral apoplexy upper limb rehabilitation training system and the control method thereof have advantages of reducing training space occupation space, enriching training modes and improving rehabilitation training effect.

Description

technical field [0001] The invention belongs to the technical field of medical rehabilitation, and in particular relates to a virtual reality cerebral apoplexy 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, with a very high mortality rate and disability rate, mainly divided into hemorrhagic stroke ( Cerebral hemorrhage or subarachnoid hemorrhage) and ischemic stroke (cerebral infarction, cerebral thrombosis), with cerebral infarction being the most common. Cerebral stroke is one of the most important fatal diseases in the world, with acute onset and high mortality rate. The mortality rate of stroke also tends to increase with age. Due to the lack of effecti...

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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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