Finger exoskeleton rehabilitation robot

Abstract

The invention relates to a finger exoskeleton rehabilitation robot. The finger exoskeleton rehabilitation robot comprises a hand back mechanism, and a thumb mechanism, an index finger mechanism, a middle finger mechanism, a ring finger mechanism and a little finger mechanism which are connected with the hand back mechanism, the thumb mechanism comprises a proximal knuckle module and a far knucklemodule which are interconnected, and the index finger mechanism, the middle finger mechanism, the ring finger mechanism and the little finger mechanism respectively include a proximal knuckle module,a middle knuckle module and a far knuckle module which are sequentially connected; and each of the hand back mechanism, the thumb mechanism, the index finger mechanism, the middle finger mechanism, the ring finger mechanism and the small finger mechanism is provided with a sensor. The robot reduces the structure complexity at the same degree of freedom, and is close to the actual situation of rehabilitation training while improving the accuracy.

Description

technical field [0001] The invention relates to a finger exoskeleton rehabilitation robot, which belongs to the field of rehabilitation training equipment for assisting stroke patients. Background technique [0002] With the improvement of quality of life and medical level, the life span of human beings continues to prolong. Stroke has become a disease that plagues many middle-aged and elderly people. Stroke patients are often accompanied by finger movement disorders, and the loss of hand function will bring great harm to the daily life of patients. Therefore, it is of practical significance to help them restore finger movement. [0003] Rehabilitation medicine research and practice have shown that adhering to exercise rehabilitation training is an effective way to restore limb motor function; traditional exercise rehabilitation training mainly relies on rehabilitation physicians to pull the patient's joints and muscles, and assist the patient's limbs to reciprocate, thereby...

AI Technical Summary

Problems solved by technology

[0005] In recent years, due to the development of robotics and virtual reality technology, many universities and research institutions have conducted research on finger rehabilitation robots, such as the Master II force feedback data glove developed by Rutgers University in the United States, and the one developed by the University of Santa Ana in Pisa, Italy. HANDEXOS, DULEX developed by Dongui University in South Korea, and some unnamed finger rehabilitation devices; these devices either have a single function, or do not integrate sensors, or have limited movement methods and ranges, so they have not been introduced to the market; in addition, there are some Products launched by the company, such as the hand of hope from Rehab-Robotics and Gloreha, an Italian smart rehabilitation robot, are expensive; therefore, there is still much room for improvement in finger rehabilitation robots

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