Endoscope Insertion Monitoring via Shape and Hand Movement Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current endoscope insertion techniques lack effective methods to evaluate the quality of insertion operations, particularly in complex anatomical structures like the large intestine, making it difficult for doctors to determine whether their insertion methods are optimal or not.
Innovation Solution
A monitoring system that includes a shape detection apparatus to monitor the endoscope's insertion shape and a movement detection apparatus to track the operator's hand movements in 3D space, calculating parameters such as movement amount, speed, and turning angles, and correlating this data with the insertion shape for real-time feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only insertion shape is monitored, then device complexity is reduced, but measurement precision is insufficient to evaluate insertion quality
Solution Approach 1:
The patent combines shape detection apparatus and movement detection apparatus into an integrated monitoring system. The shape detection apparatus monitors the insertion shape of the endoscope, while the movement detection apparatus tracks hand movements. By merging these two detection systems and correlating their data temporally, the system achieves comprehensive insertion quality evaluation without requiring overly complex individual components.
Solution Approach 2:
The patent introduces a correlation processing mechanism that acts as an intermediary between shape detection data and movement detection data. This intermediary component temporally correlates the two data streams to evaluate insertion quality, allowing the system to achieve high measurement precision without directly complexing the detection apparatus themselves.
2Measurement precision
If detailed hand movement parameters are tracked, then measurement precision is improved, but loss of information increases due to data volume
Solution Approach 1:
The patent extracts only the essential movement parameters (position and posture in three-dimensional space) from the complete hand movement data. By taking out these specific critical parameters rather than processing all possible movement data, the system maintains high measurement precision while reducing the overall data volume that needs to be managed and correlated with shape information.
3Productivity
If real-time correlation of shape and movement data is implemented, then productivity is improved through immediate feedback, but device complexity increases
Solution Approach 1:
The patent performs preliminary temporal correlation processing of shape and movement data during the insertion operation itself. By establishing the correlation framework in advance and processing data as it is collected, the system provides immediate feedback to improve insertion efficiency without requiring complex post-processing operations or large-scale data storage systems.
Data Source
AI summary
A monitoring system includes an endoscope shape detection apparatus configured to detect a shape of an insertion section of an endoscope and a movement detection apparatus configured to detect a movement of a hand that operates the endoscope.