Data evaluation system based on intramuscular nerve acupuncture

By designing a data evaluation system based on intramuscular nerve acupuncture, using data acquisition, region distinction, feature identification and feature assignment modules, the problem of difficulty in accurately positioning acupuncture points in the existing technology is solved, the accuracy and effectiveness of acupuncture stimulation are achieved, and the recovery effect of muscle nerve function is improved.

CN119724600AInactive Publication Date: 2025-03-28HEILONGJIANG UNIV OF CHINESE MEDICINE
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Patent Information

Application Number
CN202411932275.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-26
Publication Date
2025-03-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The prior art is difficult to accurately locate the best points of intramuscular nerve acupuncture, resulting in poor acupuncture stimulation effect and affecting the recovery of muscle nerve function.

Method used

A data evaluation system based on intramuscular nerve acupuncture is designed, muscle and nerve distribution data are obtained through the data acquisition module, regional distinction module divides feature identification paths, feature identification module determines the priority of the main path chain and other path chains, and gives weights through the feature assignment module, and finally evaluates the optimal acupuncture position through the result optimization module.

Benefits of technology

It achieves accurate and effective needle stimulation for piercing patients, and improves the recovery effect of muscle and nerve function.

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Abstract

The invention discloses a data evaluation system based on intramuscular nerve acupuncture, and the system obtains a plurality of human muscle and nerve distribution data through a data collection module, and is used for matching a muscle and nerve distribution model of a person to be punctured. After a person to be punctured is matched with the data acquisition module, dividing the muscle and nerve distribution data by adopting an area distinguishing module to generate a plurality of feature identification paths, then determining a main path chain for the plurality of feature identification paths through a feature recognition module, and determining priorities of other path chains based on the main path chain; the main path chain is assigned with a first weight in the feature assignment module, the other feature identification paths are assigned with a second weight based on the priority, and finally the optimal acupuncture position is evaluated according to the comparison result through the result optimization module according to the comparison result of the main path chain and the other feature identification paths. Accurate and effective acupuncture stimulation of a person to be punctured is achieved.
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