Remote ICU Video Label Enhancement for Medical Device Displays
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Solution Overview
Problem
In tele-ICU systems, medical devices not connected to the internet often have labels that are too small to be visible in video feeds, making it difficult for remote clinicians to identify the type of information displayed on medical monitors.
Innovation Solution
A central computer system that receives data from cameras in remote ICUs, identifies the type of medical device, determines the layout of labels, and generates enhanced labels to overlay on the video feed, ensuring visibility of information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If camera systems are used to capture and stream the display of medical devices, then remote clinicians can view the information, but the labels on the displays remain too small to be visible
Solution Approach 1:
The system introduces an intermediary processing layer between the medical device display and the remote clinician. The camera captures the display, the central computer processes the video feed to detect and enhance labels, and then streams the enhanced video to remote clinicians. This intermediary processing resolves the contradiction by making labels visible without requiring changes to the original medical device.
Solution Approach 2:
The system changes parameters of the video feed through digital processing. The central computer adjusts brightness, contrast, and applies enhancement algorithms to the captured display image. These parameter changes make the labels visible to remote clinicians while maintaining the original medical device unchanged.
2Loss of information
If the camera is positioned to capture the entire display, then all information is visible, but the labels remain too small to read
Solution Approach 1:
The system transitions from a two-dimensional display capture to a enhanced digital representation. By processing the video feed through image enhancement algorithms and potentially creating zoomed-in or annotated views, the system adds a digital enhancement dimension that makes labels readable without requiring physical space expansion.
Solution Approach 2:
The system creates an enhanced copy of the display information. Instead of relying on the original physical display, the central computer generates a processed version with enhanced labels and readability. This copied and enhanced information is then presented to remote clinicians, resolving the visibility issue without changing the original display area.
3Reliability
If the medical device display is viewed remotely via video stream, then remote monitoring is enabled, but the lighting environment and resolution limitations prevent label visibility
Solution Approach 1:
The system implements feedback loops where the central computer continuously analyzes the video feed quality, detects label regions, and adjusts enhancement parameters in real-time. This feedback mechanism ensures that labels remain visible and readable despite variations in lighting, camera angle, or resolution, maintaining both remote monitoring reliability and label detection precision.
Solution Approach 2:
The system performs preliminary enhancement of the video feed before transmission to remote clinicians. By pre-processing the video to enhance labels, adjust contrast, and optimize visibility, the system ensures that remote clinicians receive a high-quality stream where labels are already optimized for reading, rather than requiring them to perform post-processing.
Data Source
AI summary
A system for enhancing data views for remote intensive care units includes a central computer comprising a memory that stores instructions and a processor that executes the instructions. When executed by the processor, the instructions cause the central computer to: receive, from a first remote intensive care unit, data generated by a first camera at the first remote intensive care unit; determine, from the data generated by the first camera at the first remote intensive care unit, a type of a first medical device within a view of the first camera at the first remote intensive care unit; determine, based on the type of the first medical device, a layout of labels for information displayed by the first medical device; generate labels for information displayed by the first medical device; and supplement video from the first camera with the labels for information displayed by the first medical device.