Brain injury wrist motion intelligent rehabilitation training device

Abstract

The invention discloses a brain injury wrist motion intelligent rehabilitation training device. The brain injury wrist motion intelligent rehabilitation training device comprises an electromechanical unit, a calculating unit and a display unit. The electromechanical unit captures motions of the wrist and inputs the motions into the calculating unit for operation, the image result of the operation is outputted to the display unit, the power result of the operation is outputted to the electromechanical unit in order to generate force feedback, and the operation steps of the calculating unit comprises sensing and calculating motions, operating and rendering 3D images, and operating the magnitude and direction of the feedback force. Through a man-machine interface, real-time interaction among wrist motions, force feedback and visual feedback is achieved, by means of cross settings of different force feedback modes and difficulty degrees, personalized accurate medical rehabilitation schemes can be provided for patients with different function levels, and a quantified and objective evaluation basis can be provided for doctors.

Description

technical field [0001] The invention relates to virtual reality technology and human-computer interaction technology, more specifically, to an intelligent rehabilitation training device for brain-injured wrist movements based on virtual reality force feedback. Background technique [0002] Various upper limb movement disorders caused by brain damage, including shoulders, arms, elbows, wrists, palms, fingers and other different movement functions, must implement different rehabilitation task training for each movement to achieve the purpose of rehabilitation. For wrist movement functions, including wrist flexion and extension, ulnar deviation, flexural deviation, forearm pronation, and forearm supination, traditional clinical rehabilitation usually only requires patients to repeat the above movements, which is boring and monotonous on the one hand, and lacks quantification on the other. standard, but also lacks force feedback. [0003] With the advancement of science and tec...

AI Technical Summary

Problems solved by technology

(1) Data glove: Although the sensor can quantify the action, it lacks force feedback. At the same time, the glove cannot fit all kinds of hand shapes. Once the glove size is inconsistent with the hand shape, there will be deviations in data collection, so it is not easy to be used clinical

(2) Robot arm: Although it can provide force feedback, it is usually too expensive and bulky, and it is not easy to be widely used in clinical practice, and it is not possible to integrate all the above-mentioned wrist motion functions into a single device

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