Trending Coronary Burden via ST Segment Variation Analysis
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Solution Overview
Problem
Conventional methods for implantable medical devices fail to adequately capture and present long-term coronary burden information and trends based on ST segment variations, particularly in ischemic episodes, limiting their ability to record and illustrate the extent and frequency of coronary events.
Innovation Solution
A method and system that obtain cardiac data over time, identify the onset and termination of coronary episodes using ST segment variations, record coronary burden information, and present this information to illustrate trends, including episode counts, durations, maximum ST segment variations, and graphical representations of episode frequency and duration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional programmers are used to download limited information from IMD, then communication simplicity is maintained, but coronary burden information completeness deteriorates
Solution Approach 1:
The coronary burden information is segmented into multiple categories including episode count, time durations, maximum ST segment variations, detection logs, and trend data. This segmentation allows the programmer to download and process specific information types independently, maintaining operational simplicity while ensuring complete information capture.
Solution Approach 2:
The system adds a temporal dimension by tracking and storing coronary episode data over extended periods. Instead of only capturing single-event data, the IMD records longitudinal trends in ST segment variations, episode frequencies, and durations, transforming limited snapshot information into comprehensive temporal burden profiles.
2Speed
If IMD processes coronary events as triggering events, then event detection responsiveness is improved, but long-term burden recording capability deteriorates
Solution Approach 1:
The IMD performs preliminary processing by continuously monitoring ST segment variations and pre-identifying potential coronary episodes before formal triggering occurs. This preliminary detection allows the system to prepare and buffer data in advance, ensuring both rapid response to acute events and continuous accumulation of long-term burden information without loss.
Solution Approach 2:
The system maintains continuous monitoring and recording of ST segment variations throughout the monitoring period. Rather than operating in discrete triggered events, the IMD continuously accumulates coronary burden data, ensuring uninterrupted tracking of episode patterns, trends, and temporal distributions over extended periods.
Data Source
AI summary
A method and system are provided for trending a coronary burden such as an ischemic burden or acute myocardial infarction (AMI) for a patient. Trending provides obtaining cardiac data over a period of time, identifying the onset and the termination of coronary episodes based on a ST segment variation within the cardiac data, recording coronary burden information, and presenting the coronary burden information to a user. The coronary burden information may include the number of coronary episodes occurring over a period of time, the time duration of the coronary episodes, and the maximum ST segment variations for the coronary episodes that occur over a period of time.