Abdominal Acupuncture Point Mapping via Meridian Topology
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Solution Overview
Problem
Existing methods for locating abdominal acupuncture points, particularly on the abdomen, suffer from low accuracy due to the lack of texture features, leading to inefficient and inaccurate manual detection, which affects the effectiveness of moxibustion treatment.
Innovation Solution
A method and apparatus that utilize human body key feature points to determine abdominal acupuncture points by identifying meridians and their topological relationships, employing a combination of open-source Mediapipe extraction models and trained detection models to enhance accuracy, and a moxibustion robot for automated application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If deep learning model training is used for locating abdominal acupuncture points, then automation is improved, but measurement precision deteriorates due to lack of texture features on the abdomen
Solution Approach 1:
The patent introduces an intermediary geometric model of meridians as a mediator between the automated detection system and the acupuncture points. Instead of directly detecting acupuncture points on the abdomen (which lacks texture features), the system first detects key body landmarks, constructs meridian lines connecting these landmarks, and then locates acupuncture points along these constructed meridians. This intermediary approach enables automated detection while maintaining precision by leveraging the structured topological relationships of traditional meridian theory.
2Measurement precision
If manual acupuncture point location is used, then measurement precision is improved through human experience, but productivity deteriorates due to inefficiency
Solution Approach 1:
The system implements self-service by automatically constructing meridian models and locating acupuncture points based on detected key body landmarks, eliminating the need for manual intervention. The algorithm autonomously performs meridian line construction, topological relationship establishment, and acupuncture point identification, thereby maintaining high precision through structured geometric reasoning while dramatically improving efficiency by removing manual operation bottlenecks.
3Adaptability or versatility
If manual acupuncture point location is used, then adaptability is improved through human experience, but loss of time increases due to reliance on individual expertise
Solution Approach 1:
The system performs preliminary action by pre-establishing the geometric models of meridians and their topological relationships before actual acupuncture point location. The meridian construction algorithm and topological relationship database are prepared in advance, enabling rapid and consistent acupuncture point identification across different patients without requiring time-consuming manual assessment of individual cases, thus reducing time loss while maintaining adaptability through the flexible geometric model.
Data Source
AI summary
A method and apparatus for determining abdominal acupuncture points, a moxibustion robot, and a storage medium are provided, which belong to the technical field of identification of acupuncture points. The method includes: acquiring human body key feature points of a human body image; determining a plurality of meridians on an abdomen based on the human body key feature points; and determining abdominal acupuncture points based on a topological relationship of the meridians and acupuncture points. Abdominal acupuncture points are determined by means of the meridians such that the technical problem of inaccurate locating of acupuncture points on the abdomen without texture feature due to the use of a deep learning model is avoided, and the locating accuracy of the abdominal acupuncture points is improved.