Data gloves for function rehabilitation training and assessment of hands and monitoring method thereof

Abstract

The invention discloses data gloves for function rehabilitation training and assessment of hands. Each data glove further comprises bent sensor groups which are arranged on the hand back side inside the each data glove in a packaged mode and flexible pressure sensor groups which are arranged on the palm side inside each data glove. The bent sensor groups are placed on finger joints, the pressure sensor groups are placed on the a plurality of key nodes where a hand is in contact with an object when the object is grabbed, and lead-out lines of the bent sensor groups and lead-out lines of the pressure sensor groups are packaged inside each data glove, collected to the outer side of a forearm via the hand back side, and connected with a subsequent hardware processing circuit. The data gloves for the function rehabilitation training and the assessment of the hands are strong in wearability and capable of collecting finger bending angle information and palm pressure information of the hands of a patient, the finger bending angle information and the palm pressure information are used in the hand function rehabilitation training under a virtual environment, and quantitative assessment results of a muscle force range from no joint movement to movement capable of resisting normal resistance can be given.

Description

technical field [0001] The invention relates to a medical auxiliary instrument, in particular to a data glove used for hand function rehabilitation training and evaluation and a monitoring method thereof. Background technique [0002] There are currently many treatments for limb hemiplegia caused by brain injury, and some robots or data gloves that can perform hand rehabilitation have also appeared in recent years. Rehabilitation robots and some data gloves can assist patients to complete hand grasping and other actions, but there is a lack of corresponding quantitative evaluation methods and methods, and it is impossible to give an objective evaluation of the patient's rehabilitation status. Although some data gloves can collect part of the information of the patient's hand and use it for immersive training and quantitative evaluation in a virtual reality environment, they only focus on the activity information of the hand movement, that is, only consider the bendable angle...

AI Technical Summary

Problems solved by technology

Some current hand function rehabilitation devices use rigid mechanical structures, which are poor in wearability and cause inconvenience to the patient's activities. The hand movement information collected in this state cannot objectively reflect its true state, which affects the objective evaluation of the hand rehabilitation effect.

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