Dynamic Pre-Trigger Duration for Onset Offset Capture
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Solution Overview
Problem
Existing patient monitoring systems face challenges in accurately capturing the onset and offset of abnormal conditions, such as arrhythmias, due to varying trigger criteria and pre-trigger durations, which can result in incomplete data capture and increased costs.
Innovation Solution
A medical device with an analysis module that includes a buffer and processor to select a pre-trigger duration based on trigger criteria, ensuring capture of segments that include the onset and offset of abnormal conditions by using multiple trigger criteria with varying sensitivity levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a predetermined duration of time is used for capturing physiological parameter segments, then the capture process is simple and fast, but the onset and offset of abnormal conditions may not be captured
Solution Approach 1:
The patent implements dynamic adjustment of pre-trigger duration based on the specific trigger criteria being evaluated. Different trigger criteria (e.g., arrhythmia detection, ST-segment analysis) have different associated pre-trigger durations stored in memory. When a trigger criterion is satisfied, the system dynamically selects the corresponding pre-trigger duration from memory, allowing the capture window to adapt to the specific clinical question being addressed rather than using a fixed predetermined duration.
2Measurement precision
If multiple trigger criteria with varying sensitivity levels are used, then the capture of abnormal conditions is more accurate, but the analysis and processing complexity increases
Solution Approach 1:
The patent segments the trigger criteria into multiple distinct levels of sensitivity, each associated with specific pre-trigger durations. The system evaluates different trigger criteria (e.g., high-sensitivity criteria for early detection, standard criteria for confirmed events) and applies appropriate pre-trigger durations from memory based on which criterion is satisfied. This segmentation allows the system to handle multiple detection scenarios without requiring a single complex analysis algorithm.
Solution Approach 2:
The system changes the parameter of pre-trigger duration based on which trigger criterion is satisfied. Different trigger criteria map to different pre-trigger duration values stored in memory. When a trigger criterion is met, the corresponding pre-trigger duration parameter is selected and applied, allowing the system to adjust its capture behavior dynamically based on the detection scenario without changing the underlying hardware or basic system architecture.
3Loss of information
If longer pre-trigger durations are selected to ensure onset capture, then more complete data is captured, but data storage and communication costs increase
Solution Approach 1:
The system dynamically changes the pre-trigger duration parameter based on the satisfied trigger criterion, selecting from multiple stored duration values. This allows the system to use longer durations only when necessary (e.g., when specific arrhythmia detection criteria are met) and shorter durations for other scenarios, optimizing the balance between information completeness and data storage requirements.
Solution Approach 2:
Different pre-trigger durations are assigned to different trigger criteria based on their specific clinical requirements. Rather than using a uniformly long pre-trigger duration for all events, the system applies locally optimized durations matched to each detection scenario, ensuring sufficient information capture for each specific condition while minimizing overall data storage requirements.
Data Source
AI summary
A medical device is utilized to monitor physiological parameters of a patient and capture segments of the monitored physiological parameters. The medical device includes circuitry configured to monitor one or more physiological parameters associated with the patient and an analysis module that includes a buffer and a processor. The buffer stores monitored physiological parameters and the processor analyzes the monitored physiological parameters and triggers capture of segments from the buffer in response to a triggering criteria being satisfied. The analysis module selects a pre-trigger duration based at least in part on the triggering criteria.