Real-Time Intubation Assistant with Organ Detection and Odometry
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Solution Overview
Problem
Existing image analysis technologies for intubation are computationally resource-intensive and fail to provide real-time object recognition, direction guidance, and equipment localization, leading to potential tissue damage and medical disputes due to incorrect intubation.
Innovation Solution
A multi-task real-time intubation assistant system utilizing a laryngeal examination device, photographic device, and control device with modules for local attentive region proposal, direction detection, and visual odometry to enhance computational efficiency and accuracy in identifying specific organs and guiding the intubation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing analytical models are used for image analysis in intubation, then detection accuracy is improved, but computational resource consumption increases significantly
Solution Approach 1:
The patent divides the image analysis task into multiple stages: coarse detection to identify potential regions of interest, followed by fine detection to accurately identify specific organs. This segmentation allows the system to apply computationally intensive algorithms only to relevant regions rather than the entire image, thereby maintaining high detection accuracy while significantly reducing overall computational resource consumption.
2Measurement precision
If existing image analysis technology is used, then object recognition capability is improved, but real-time processing speed deteriorates
Solution Approach 1:
The patent performs preliminary coarse detection to identify potential regions of interest before conducting detailed fine detection. By pre-processing the image to locate areas containing relevant anatomical structures, the system prepares the data in advance for more accurate organ identification, enabling real-time processing while maintaining high object recognition capability.
3Measurement precision
If comprehensive image analysis is performed to identify all laryngeal structures, then detection accuracy is improved, but processing time increases
Solution Approach 1:
The patent applies different detection strategies to different regions of the laryngeal image based on their importance and characteristics. High-priority regions containing critical anatomical structures receive more intensive analysis, while less critical areas undergo simpler processing. This localized approach maintains high detection accuracy for essential structures while reducing overall processing time.
Data Source
AI summary
A multi-task real-time intubation assistant system is disclosed. The system includes a laryngeal examination device, a photographic device, and a control device. The laryngeal examination device is used to enter the user's larynx for examination. The photographic device provides laryngoscopic images. The control device is connected to the photographic device and the laryngeal examination device to receive the laryngoscopic image. The control device receives the laryngoscopic images and executes a local attentive region proposal module to generate an object-detecting output. The object-detecting output corresponds to the specific organ in the larynx. A direction-detecting module is executed to generate a guiding direction for the laryngeal examination device through a direction-detecting program. A visual odometer module detects a moving distance of the photographic device through a visual odometer detecting program. The position of the laryngeal examination device is obtained by the moving distance.