Implantable Device Rhythm Classification Using EGM Morphology
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current implantable medical devices (IMDs) face challenges in accurately distinguishing between treatable and non-treatable heart rhythms, leading to potential inappropriate delivery of therapy, discomfort, and unnecessary power depletion.
Innovation Solution
The IMD analyzes cardiac event intervals and electrogram (EGM) morphology to detect sudden rate onset and classify rhythms as treatable or non-treatable by comparing beat morphology parameters with a template EGM, reducing misclassification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the IMD delivers therapy based on rhythm detection, then treatment effectiveness is improved, but misclassification of rhythms leads to inappropriate therapy delivery causing discomfort and power depletion
Solution Approach 1:
The patent segments the rhythm analysis into multiple components: sudden rate onset detection (using cardiac event intervals) and morphology analysis (using EGM templates). This segmentation allows the device to systematically evaluate different aspects of the rhythm, improving overall detection accuracy and reducing misclassification by addressing each aspect through dedicated analysis mechanisms.
Solution Approach 2:
The patent introduces an intermediary template EGM that serves as a reference standard for morphology comparison. This template acts as a mediator between the detected rhythm and the classification decision, enabling objective comparison and reducing subjective misclassification by providing a consistent benchmark for evaluating beat morphology characteristics.
2Measurement precision
If the IMD continuously monitors and analyzes heart rhythms, then detection capability is improved, but power consumption increases
Solution Approach 1:
The patent implements periodic monitoring by analyzing rhythms only at significant events (sudden rate onsets) rather than continuous analysis. The device periodically samples cardiac event intervals and EGM morphology at these critical moments, maintaining detection precision while reducing overall power consumption by avoiding constant monitoring during normal rhythm states.
Solution Approach 2:
The patent performs preliminary detection of sudden rate onset using cardiac event intervals before conducting more resource-intensive morphology analysis. This preliminary action filters out non-critical events, allowing the device to only perform full EGM template matching when a rate onset is detected, thereby reducing unnecessary power consumption while maintaining monitoring capability.
3Reliability
If the IMD uses multiple analysis methods to distinguish rhythm types, then classification accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the classification task into two distinct modules: sudden rate onset detection (using interval analysis) and morphology analysis (using EGM templates). This segmentation allows each module to be optimized independently and simplifies the overall system architecture by dividing the complex classification problem into manageable, sequential steps rather than requiring a single complex integrated system.
Solution Approach 2:
The patent employs preliminary rate onset detection as a filter that activates only when needed. By using simple interval analysis to identify sudden rate onsets first, the system can then apply more complex morphology analysis only to these critical events, reducing overall computational complexity while maintaining high classification accuracy for treatable arrhythmias.
Data Source
AI summary
Techniques are described for distinguishing between treatable and non-treatable heart rhythms. A medical device that operates in accordance with the techniques analyzes characteristics over several cardiac event intervals to detect initiation of a sudden rate onset. After detection of the initiation of the sudden rate onset, the IMD analyzes a morphology of an EGM associated with a selected cardiac event within the first several beats after the initiation of sudden rate onset. In one example, the IMD analyzes the morphology of the EGM associated with the first cardiac event immediately subsequent to the initiation of the sudden rate onset. If the morphology of the EGM of the selected cardiac event is abnormal compared to template EGM, the rhythm is classified as treatable. Otherwise, the rhythm is classified as non-treatable.