A laryngopharynx postoperative intelligent monitoring rehabilitation auxiliary instrument and a control method

CN121714213BActive Publication Date: 2026-06-26AFFILIATED CHILDRENS HOSPITAL OF CAPITAL INST OF PEDIATRICS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
AFFILIATED CHILDRENS HOSPITAL OF CAPITAL INST OF PEDIATRICS
Filing Date
2025-12-04
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Current techniques for postoperative assessment of the laryngopharynx mainly rely on intermittent and point-based observations, making it difficult to achieve continuous quantitative assessment of swallowing function, healing progress, and pain levels, thus affecting the timeliness and accuracy of rehabilitation plans.

Method used

The intelligent monitoring and rehabilitation aid device for postoperative laryngopharyngeal surgery is used to acquire pharyngeal physiological data, construct a physical information neural network model, analyze the degree of laryngeal hilum closure and the elastic modulus of pharyngeal wall tissue, combine the pain level, generate personalized rehabilitation intervention instructions, and adjust the intervention plan based on feedback records.

Benefits of technology

This approach enables objective and quantifiable assessment of pain levels and swallowing function, improves the timeliness and effectiveness of rehabilitation interventions, reduces postoperative complications, and optimizes the personalization and safety of rehabilitation programs.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application belongs to the technical field of medical rehabilitation equipment, and discloses a kind of laryngeal postoperative intelligent monitoring rehabilitation auxiliary instrument and control method;Including obtaining the physiological data of the throat of patient throat;Four-channel tensor formed after processing physiological data of throat is input into physical information neural network model for analysis by constructing physical information neural network model, and the output of laryngeal entrance closure degree and pharyngeal wall tissue elastic modulus, determine the pain level of patient based on laryngeal entrance closure degree and pharyngeal wall tissue elastic modulus;Based on the analysis of mucous membrane dynamic displacement sequence data and pressure data, determine the swallowing mode characteristics of patient, and combine laryngeal entrance closure degree, pharyngeal wall tissue elastic modulus and pain level to carry out rehabilitation decision analysis, generate rehabilitation intervention instruction;Based on rehabilitation intervention instruction, execute dosing operation, and obtain the execution feedback record after completing dosing operation, adjust rehabilitation intervention instruction based on execution feedback record, significantly enhance the timeliness and effectiveness of treatment decision.
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