Endoscope System Integrating Multi-Parameter Sensing for Diagnosis
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Solution Overview
Problem
Current endoscope systems primarily rely on visual images for diagnosis, which can lead to diagnostic ambiguity and increased clinical time, with a high likelihood of errors and misdiagnoses due to the inability to accurately assess various diseases beyond visual inspection during endoscopy.
Innovation Solution
A diagnosis assisting endoscope system that integrates an endoscope module to sense images, temperature, humidity, volume, and airflow, along with a central processing module to analyze this data in real-time, generating a disease diagnosis list for immediate external output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only visual images are used for disease diagnosis during endoscopy, then the device complexity is low, but the diagnostic accuracy and reliability are insufficient leading to high likelihood of errors and misdiagnoses
Solution Approach 1:
The patent combines multiple sensing functions (image sensing, temperature sensing, humidity sensing, volume sensing, and airflow sensing) into a single endoscope system. This merging of multiple sensing capabilities allows the system to collect comprehensive physiological data from the inspection target, thereby improving diagnostic accuracy and reliability while managing device complexity through integrated design.
Solution Approach 2:
The endoscope system is designed with multi-functionality by incorporating various sensors (image sensor, temperature sensor, humidity sensor, volume sensor, airflow sensor) that can perform multiple diagnostic functions simultaneously. This universal approach enables the single device to provide comprehensive disease diagnosis through multiple measurement modalities, enhancing reliability without requiring separate specialized devices.
2Productivity
If only visual images are used for disease diagnosis, then the device complexity is low, but the clinical time increases due to diagnostic ambiguity
Solution Approach 1:
The patent combines multiple sensing functions (image sensing, temperature sensing, humidity sensing, volume sensing, and airflow sensing) into a single endoscope system. This merging of multiple sensing capabilities allows the system to collect comprehensive physiological data from the inspection target, thereby improving diagnostic accuracy and reliability while managing device complexity through integrated design.
Solution Approach 2:
The system provides real-time feedback by processing and analyzing the collected physiological data (images, temperature, humidity, volume, airflow) to generate disease diagnosis information immediately during the endoscopy procedure. This real-time feedback mechanism reduces diagnostic ambiguity and enables faster, more accurate clinical decisions, thereby reducing clinical time.
3Measurement precision
If multiple physiological parameters (temperature, humidity, volume, airflow) are measured in addition to images, then the diagnostic accuracy is enhanced, but the device complexity increases
Solution Approach 1:
The patent combines multiple sensing functions (image sensing, temperature sensing, humidity sensing, volume sensing, and airflow sensing) into a single endoscope system. This merging of multiple sensing capabilities allows the system to collect comprehensive physiological data from the inspection target, thereby improving diagnostic accuracy and reliability while managing device complexity through integrated design.
Solution Approach 2:
The endoscope system is designed with multi-functionality by incorporating various sensors (image sensor, temperature sensor, humidity sensor, volume sensor, airflow sensor) that can perform multiple diagnostic functions simultaneously. This universal approach enables the single device to provide comprehensive disease diagnosis through multiple measurement modalities, enhancing reliability without requiring separate specialized devices.
4Reliability
If multiple physiological parameters are measured and analyzed in real-time, then the diagnostic reliability is improved, but the loss of time for data processing may increase
Solution Approach 1:
The system provides real-time feedback by processing and analyzing the collected physiological data (images, temperature, humidity, volume, airflow) to generate disease diagnosis information immediately during the endoscopy procedure. This real-time feedback mechanism reduces diagnostic ambiguity and enables faster, more accurate clinical decisions, thereby reducing clinical time.
Solution Approach 2:
The system performs preliminary data processing and analysis during the data collection phase itself, preparing the physiological data for immediate diagnostic interpretation. By preliminarily organizing and processing the multi-parameter data as it is collected, the system minimizes additional processing time needed after data acquisition, maintaining both high reliability and efficient timing.
Data Source
AI summary
An endoscope system for diagnosis support and a method for controlling the same. An endoscope module and an endoscope adaptor module are capable of taking images in the body and further measuring the temperature, humidity, volume and air flow in the body. According to the images, temperature, humidity, volume and air flow in the body, an auxiliary diagnosis module may diagnose suspected diseases in the body and may display, to the outside, a disease diagnosis list for the suspected diseases in the body.