Tongue-controlled hand rehabilitation robot system based on magnetic marker and operation method of tongue-controlled hand rehabilitation robot system

Abstract

The invention discloses a tongue-controlled hand rehabilitation robot system based on a magnetic marker and an operation method of the tongue-controlled hand rehabilitation robot system; a permanent magnet is arranged at the tongue tip as a tongue posture marker; a sensor array is used for measuring the magnetic field intensity of the tongue posture marker in real time; a three-dimensional spatialposition and two-dimensional direction data of a magnet are obtained through preprocessing of a magnetic signal and calculation of a linear algorithm, and thus the posture information of the tongue is obtained; and a hand rehabilitation robot is controlled to execute corresponding operation by utilizing the determined tongue posture information. The tongue-controlled hand rehabilitation robot system disclosed by the invention is high in tongue movement recognition accuracy and concise in equipment, and may have a promotion effect on hand function rehabilitation of a stroke patient.

Description

technical field [0001] The invention belongs to the technical field of rehabilitation robots, and in particular relates to a magnetic marker-based tongue-controlled hand rehabilitation robot system and an operating method thereof. Background technique [0002] Stroke is the leading cause of death and disability among adults in my country, and it has the characteristics of high disability rate. According to the report of the World Health Organization, 80% of stroke patients have different degrees of limb dysfunction, and about 60% of patients will leave hand function. hand function accounts for 90% of upper limb function, so intact hand function plays a very important role in people's work and life, how to improve stroke patients more effectively Hand function has always been one of the thorny problems that rehabilitation workers need to solve urgently. [0003] At present, there are hand rehabilitation robots based on different human-computer interaction methods, such as eyeb...

AI Technical Summary

Problems solved by technology

However, these methods have certain limitations. The eye position-based method is easily affected by the contact lens and pupil color, making the results inaccurate, and it is easy to make the patient's eyes tired; the electrooculogram-based method cannot provide reliable vertical eye movement. Recording, there will be artifacts when blinking, and the fluctuation of corneal and retinal dipole potential will affect the accuracy; the method based on EEG signal is easy to be interfered by the outside world, the signal strength is weak, and the signal processing process is complicated; the method based on EMG signal Methods are limited by obesity and advanced age, limiting clinical diagnostic certainty

Images