Endoscopic Pump Control Using Real-Time Image Feedback
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Solution Overview
Problem
Current endoscopic systems rely on manual adjustments for pressure and flow control, which disrupt the procedure, require additional personnel, and often result in suboptimal image quality due to lack of real-time image analysis for feedback loops.
Innovation Solution
An endoscopic system that includes an image analysis engine and control engine to analyze images in real-time, automatically adjusting medium management and other components to optimize visualization and procedural efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual adjustments are used for pressure and flow control, then the system is simpler and requires fewer components, but image quality deteriorates and procedural efficiency decreases due to lack of real-time optimization
Solution Approach 1:
The system implements a feedback loop where the image quality assessment module continuously evaluates endoscopic images and provides feedback to the pump control module. This closed-loop feedback enables automatic real-time optimization of pressure and flow parameters without manual intervention, resolving the contradiction between automation and complexity by using software-based control algorithms rather than complex hardware modifications.
Solution Approach 2:
The endoscopic system performs self-optimization through automated image quality assessment and pump control adjustments. The system monitors its own performance metrics (image quality) and automatically adjusts its operating parameters (pressure, flow) without requiring external manual intervention, enabling the procedure team to focus on the surgical procedure while the system optimizes visualization conditions autonomously.
2Productivity
If manual adjustments are made by procedure team members, then additional personnel are required and attention is diverted from the procedure, but the system can be adjusted to meet visualization needs
Solution Approach 1:
The system autonomously monitors image quality and automatically adjusts pump parameters without requiring manual operation. The procedural team members can maintain their roles and focus on the surgical procedure while the system independently optimizes visualization conditions, thereby improving productivity without compromising ease of operation.
Solution Approach 2:
The patent replaces manual mechanical adjustments (hand-operated pump controls) with an automated electronic control system that uses image processing algorithms and software-based pump control. This substitution eliminates the need for manual intervention while maintaining the ability to adjust visualization parameters, resolving the contradiction between productivity and ease of operation.
3Reliability
If pump control is implemented for improved flow and pressure management, then visualization can be optimized, but the system requires additional components and increased complexity
Solution Approach 1:
The system uses continuous feedback from image quality assessment to automatically adjust pump parameters, ensuring consistent visualization quality. This feedback-driven approach replaces complex manual control mechanisms with a simpler automated system that maintains reliability through real-time monitoring and adjustment based on actual image quality metrics.
Data Source
AI summary
Endoscopic image analysis, endoscopic procedure analysis, and/or component control systems, methods and techniques are disclosed that can analyze images of an endoscopic system and/or affect an endoscopic system to enhance operation, user and patient experience, and usability of image data and other case data.