A balance ability assessment method based on the characteristics of balance brain functional network

Abstract

The invention proposes a method for evaluating balance ability based on the characteristics of the balance brain function network. Firstly, two comparative evaluation paradigms were set up to collect the balanced EEG signals under the human stress scene, and then band-pass filtering was performed according to the coherence law of brain-muscle coupling to extract the EEG frequency band most closely related to balance. On this basis, the brain function network of human body balance adjustment was constructed, and the local clustering coefficient of the functional network was calculated according to the rules of complex network analysis, thus a new evaluation index of brain function network balance was defined, which integrated information Acquisition and information integration capabilities unify vision and proprioception on the same equivalent information integration capability platform. Adding this indicator into the classification features, an effective human body balance classification framework is obtained. At the same time, a set of human emergency balance ability level classification standards is determined by combining the traditional COP comprehensive features. The classification method has high classification accuracy.

Description

Technical field [0001] The present invention belongs to the field of pattern recognition, relates to the use of physiological electrical signals to determine the ability of the human body to balance autonomously, in particular to a balance capacity discrimination method based on the evaluation index of brain functional network characteristics. Background [0002] The meaning of balance is that the body uses the vision, proprioception, and vestibular perception of the human body in a state of rest or movement to maintain a set of biological systems for maintaining its own balance, integrates the external information received in the above system through the brain, and uses the sports-related brain regions to jointly control the skeletal muscle system of the limbs to continuously change the human posture to keep the body in a coordinated state. Since the human body is a relatively stable structure, the human body is always in a dynamic adjustment state, in general, according to whe...

AI Technical Summary

Problems solved by technology

At present, the most commonly used medical scale evaluation method is highly subjective; although the balance ability evaluation based on the plantar pressure signal (Center Of Pressure, COP) is based on objective test data, it is not comprehensive and does not fully reflect the balance of the human body. internal regulation mechanism

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