Medical Procedure Video Capture with Pre-Trigger Buffering
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Solution Overview
Problem
Existing integrated operating room systems lack the capability to efficiently capture and record fleeting moments during medical procedures for review or training purposes, often resulting in missed critical events due to delayed triggering.
Innovation Solution
The system employs a processor and memory to record video from multiple sources, buffer video segments before a triggering event, and capture a video segment including prepended buffered segments, allowing for efficient capture of events both before and after the trigger.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system waits for a trigger event to capture video, then storage space is conserved and bandwidth is reduced, but critical moments may be missed due to delayed triggering
Solution Approach 1:
The system performs preliminary actions by continuously buffering video data in memory before a trigger event occurs. This allows the system to have video segments ready for immediate capture and playback when triggered, eliminating the time delay associated with traditional on-demand recording while maintaining reliability for capturing critical moments
2Reliability
If the system buffers video segments before triggering, then critical moments including pre-trigger events are captured, but memory usage increases
Solution Approach 1:
The video stream is segmented into discrete video segments that are buffered in memory. Only the necessary portions (pre-trigger and post-trigger segments) are retained, while other portions are discarded. This segmentation approach ensures complete event capture while managing memory usage by not storing the entire video stream
3Loss of information
If the system captures extended video segments, then more context is available for review and training, but data transmission bandwidth increases
Solution Approach 1:
The system applies partial action by capturing only the specific video segments needed - the buffer segment before triggering and the post-trigger segment - rather than capturing the entire video stream. This provides sufficient context information for review and training while minimizing bandwidth consumption during data transmission
Data Source
AI summary
A system can perform image capture during a medical procedure. The system can record video from one or more video sources. The system can store the recorded video in a cached memory as stored video. The system can receive a triggering event, such as receiving a signal, operation of an actuator, or issuance of a voice command. In response to the triggering event, the system can capture a video segment from the stored video. Because the video segment is captured from stored video, the video segment can optionally include video and/or frames that occurred before the triggering event is received.


