An evaluation system and method based on active training of neurological function rehabilitation

Abstract

The invention discloses an evaluation system and method based on active training of neurological function rehabilitation, belonging to the technical field of rehabilitation training. In the system, the qualitative evaluation module classifies and recognizes the body movements collected by the body movement collection module based on the body movement processing module, and Compared with the Brunnstrom scale, the results of the Brunnstrom stage are obtained; the EMG evaluation module is based on the EMG data processing module to process the EMG signals collected by the EMG signal acquisition module to perform EMG evaluation on the muscle capacity map; the EEG evaluation module is based on The EEG data processing module processes the EEG signals collected by the EEG signal acquisition module to obtain brain topographic maps and brain region energy transformation maps for brain region evaluation; the rehabilitation evaluation module evaluates Brunnstrom staging results, myoelectricity The results were combined for rehabilitation assessment, and a rehabilitation assessment report was obtained. The present invention can more accurately and scientifically evaluate the patient's rehabilitation state through the evaluation method of brain electricity, myoelectricity, and posture multi-information fusion.

Description

technical field [0001] The invention relates to the technical field of rehabilitation training, in particular to an evaluation system and method based on active neurological function rehabilitation training. Background technique [0002] An overview report of the international authoritative magazine "circulation" pointed out that the incidence of stroke in China is increasing year by year, and the momentum is rapid. Stroke is still the leading cause of death and disability among adults in my country. There are 14.94 million stroke patients and 3.3 million new cases every year. Reasonable and effective rehabilitation assessment strategies are crucial for the functional recovery of stroke patients. Studies have shown that the fundamental cause of stroke disability is not the loss of skeletal muscle function due to the injury of the limb itself, but the loss of limb behavioral function left by the injury to the motor nervous system without effective treatment, resulting in hem...

AI Technical Summary

Problems solved by technology

[0003]In the process of existing clinical rehabilitation training, there is a lack of individualized real-time dynamic monitoring and status assessment for the recovery and improvement of patients' motor function. There are limited venues, single forms, and lack of timely Problems such as the evaluation mechanism have seriously restricted and restricted the application and popularization of new rehabilitation methods such as virtual rehabilitation and rehabilitation robots.

The evaluation system in the current market mainly evaluates motor function from a certain level of physiological or motion information, lacks an objective and comprehensive visual digital evaluation of the motor function status of stroke patients, and cannot meet the growing needs of rehabilitation

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