Auxiliary diagnosis system suitable for patients with neurological dyskinesia and use method of auxiliary diagnosis system

Abstract

The invention discloses an auxiliary diagnosis system suitable for a rehabilitation stage of a neurological dyskinesia patient. The auxiliary diagnosis system mainly comprises a hardware system with a myoelectricity and muscle force signal synchronous acquisition function and a neurological dyskinesia patient auxiliary diagnosis method based on a deep learning algorithm. Wherein the hardware system comprises a sensor module with an electromyographic signal acquisition function, a sensor module with a muscle force signal detection function and a signal processing module. According to the method, the contact state of the armlet and the skin is determined by using the muscle force signal, the electromyographic signal is pre-calibrated, the electromyographic signal is matched and corrected by using the muscle force signal, and the electromyographic signal channel number of the corresponding muscle group is determined. Signals synchronously collected by the healthy side and the affected side of a patient are subjected to data analysis processing, then healthy side and affected side difference feature extraction is carried out, features strongly associated with disease rehabilitation are selected as a data set, the data set is input into a neural network for model training, the rehabilitation condition of the patient with the neurological dyskinesia is diagnosed, and construction of the medical internet of things is assisted. The auxiliary diagnosis system has the advantages of being small in size, portable, easy to operate, high in accuracy and the like.

Description

technical field [0001] The invention relates to the field of rehabilitation diagnosis of electromyographic signals and nervous system diseases, in particular to a device for multi-channel electromyography detection and flexible pressure detection, related signal processing and a method for patient auxiliary diagnosis. Background technique [0002] When the somatic motor nerves are excited, the nerve impulses are transmitted to the motor nerve terminals to release neurotransmitters. The transmitters and the corresponding receptors on the muscle cell membrane change the permeability of potassium ion channels on the muscle cell membrane, and the influx of sodium ions is much greater than Potassium ions flow out, generating action potentials that propagate throughout the muscle cell membrane. When the muscle cell membrane is excited, the electrical energy is converted into mechanical energy, so that the myofibrils are shortened, the muscle fibers are shortened, and the muscles c...

AI Technical Summary

Problems solved by technology

However, further research and analysis on the motor rehabilitation status of patients with motor dysfunction based on EMG is subject to the serious influence of electromagnetic interference, motion artifacts, electrode offset, individual differences, etc., which reduces the reliability of EMG signals to a certain extent. At present, there is no effective method to solve the problem of verification and correction of EMG signals

Images