Functional electrical stimulation fuzzy control method

Abstract

The invention discloses a functional electrical stimulation fuzzy control method, which relates to the technical field of disabled person rehabilitation medical appliances and comprises the following steps that: the surface electromyographic signals are collected by multiple channels; a high-pass filter is adopted for carrying out filtering processing to filter the low-frequency noise caused by the electrode sliding; the filtering processing is carried out through fast independent component analysis for filtering industrial industry interference; the time domain analysis is carried out on the surface electromyographic signals after the secondary filtration to obtain the root-mean-square; errors and error variation rates between the output root-mean-square matrix value and the expected root-mean-square matrix value are used as the input of a fuzzy controller, and the stimulation current intensity precision quantity is used as the output; the errors and the error variation rates are converted to the discourse domain value according to the proper proportion, and the membership function is determined; the control rule and the membership function are used for deducting the errors and the error variation rate to obtain the stimulation current fuzzy quantity; and the defuzzification processing is carried out to obtain the stimulation current intensity precision quantity. The accuracy and the stability of a functional electrical stimulation (FES) system are effectively improved.

Description

technical field [0001] The invention relates to the technical field of rehabilitation medical equipment for disabled persons, in particular to a functional electrical stimulation fuzzy control method. Background technique [0002] FES (Functional Electrical Stimulation, Functional Electrical Stimulation) is a technology that stimulates limb motor muscles and peripheral nerves through current pulse sequences to effectively restore or reconstruct part of the motor function of paraplegic patients. According to statistics, due to the weak regeneration ability of the spinal cord, there is currently no effective treatment method that can directly repair the injury for paralyzed patients with spinal cord injury. The implementation of functional rehabilitation training is an effective measure. The number of paralyzed patients with spinal cord injury is increasing year by year, and functional rehabilitation training is an urgently needed technology. In the 1960s, Liberson successful...

AI Technical Summary

Problems solved by technology

According to statistics, there is still little research on the way of FES trigger control at present, and according to the deviation between the effect and the predetermined action, the closed-loop control is used to automatically adjust the FES stimulation intensity and timing parameters, thereby greatly improving the accuracy and stability of the FES system, but now Effective control methods are still being explored

Images