Endoscope Failure Detection via External Trigger Signal Analysis
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Solution Overview
Problem
Existing medical image processing systems for endoscopes face challenges in efficiently detecting equipment failures and specifying failure causes without using dedicated sensors, due to size restrictions and high labor requirements, and often have insufficient data storage capacity.
Innovation Solution
A medical image processing system comprising an external device with a processor that acquires real-time medical video images from an endoscope, receives trigger signals indicating failure occurrences, extracts and stores failure video images, and analyzes them to determine failure causes efficiently, without the need for dedicated sensors, by temporarily storing and sorting images based on failure type and importance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all data obtained from examination results are analyzed to detect equipment failure, then detection accuracy is improved, but labor requirement increases significantly
Solution Approach 1:
The patent extracts and stores only the critical failure-related data (error logs, state signals, examination results) from the complete examination dataset into a dedicated failure data storage region. This selective extraction enables focused analysis on failure-specific parameters without processing all examination data, thereby maintaining detection accuracy while significantly reducing the labor required for data analysis.
2Reliability
If a dedicated sensor for detecting failure is mounted on the endoscope, then detection capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent introduces an intermediary failure detection system that operates externally to the endoscope. The endoscope system generates error logs and state signals that are transmitted to an external device for failure analysis. This intermediary approach enables sophisticated failure detection without modifying the endoscope structure or mounting dedicated sensors on the endoscope itself, thus maintaining reliability while reducing device complexity.
3Loss of information
If data storage capacity is increased to store all examination data, then analysis completeness is improved, but storage cost and system complexity increase
Solution Approach 1:
The patent segments the storage system into two distinct regions: a general data storage region for routine examination data and a dedicated failure data storage region for failure-related information. By segmenting storage resources and directing only failure-critical data to the dedicated region, the system maintains analytical completeness for failure detection while optimizing storage capacity utilization and reducing overall storage requirements.
4Productivity
If failure detection is performed using error logs and state signals, then detection efficiency is improved, but ability to specify failure cause is insufficient
Solution Approach 1:
The patent merges multiple data sources including error logs, state signals, and examination results into a unified failure analysis framework. By combining these diverse data types and storing them together in the failure data storage region with temporal correlation, the system maintains high detection efficiency while significantly improving the ability to specify failure causes through comprehensive multi-source data analysis.
Data Source
AI summary
A medical image processing system includes an external device having a processor, and an endoscope system, in which the processor is configured to acquire a real-time medical video image from the endoscope system during endoscopy, receive a trigger signal having information regarding failure occurrence created based on a failure scene of the medical video image from the endoscope system, temporarily store the medical video image, extract a failure video image having the failure scene from the temporarily stored medical video image based on a reception timing of the trigger signal, and store the failure video image in a main storage region.