Head-Side Acupuncture Point Detection Using Fitted Meridian Curves
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Solution Overview
Problem
The identification and localization of head side acupuncture points in traditional Chinese medicine relies heavily on the experience and skills of doctors, leading to subjective judgments, inconsistent results, and low efficiency, with high reliance on individual expertise.
Innovation Solution
A method and apparatus using a deep learning-based acupuncture point identification model trained on a head side acupuncture point sample set, including acupuncture and support points in the gallbladder meridian of foot-shaoyang, to accurately locate and correct acupuncture points based on fitted curves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual identification method by doctors is used, then the process can be completed with simple equipment, but the accuracy and consistency of acupuncture point locating is poor due to subjective judgment
Solution Approach 1:
The patent replaces the manual mechanical identification process by doctors with an automated image processing system. The system captures head images, processes them through algorithms to identify anatomical landmarks, and automatically locates acupuncture points without manual measurement, thereby improving accuracy while reducing device complexity requirements
Solution Approach 2:
The patent creates a digital copy of the head anatomy through image capture and processing. By working with image data rather than physical measurement, the system achieves consistent, repeatable results across different users while eliminating the variability of manual measurement
2Productivity
If traditional manual identification method is used, then the equipment requirements are simple, but the time consumption and efficiency are low
Solution Approach 1:
The patent implements continuous automated image processing once the head image is captured. The system continuously performs landmark detection, coordinate transformation, and acupuncture point calculation without interruption, eliminating the sequential manual steps and significantly reducing identification time
Solution Approach 2:
The system performs self-service by automatically processing the captured image through multiple computational steps including landmark identification, coordinate system transformation, and acupuncture point location calculation, without requiring continuous human intervention or manual measurement operations
3Reliability
If manual identification by doctors is used, then the operational simplicity is maintained, but the result consistency varies among different doctors
Solution Approach 1:
The patent creates a universal identification system that applies the same image processing algorithms and anatomical landmark detection methods to all patients regardless of which doctor operates it. This ensures consistent results across different users while the automated nature of the system handles the complexity, maintaining ease of operation through a standardized workflow
Data Source
AI summary
A method and apparatus for locating head side acupuncture points, a moxibustion robot, and a storage medium are provided. The method includes: training an acupuncture point identification model based on a head side acupuncture point sample set to obtain a target acupuncture point identification model, where the head side acupuncture point sample set includes a plurality of acupuncture point sample points and a plurality of support sample points in a curve of gallbladder meridian of foot-shaoyang; inputting a head side image to be identified to the target acupuncture point identification model to obtain a plurality of acupuncture points and a plurality of support points; fitting the plurality of acupuncture points and the plurality of support points to obtain a fitted curve; and determining whether the acupuncture points require correction based on the fitted curve, if yes, correcting the acupuncture points based on the fitted curve to obtain target acupuncture points.


