Implantable Cardiac Device Storm Origin Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Implantable cardioverter defibrillators (ICDs) face rapid battery depletion due to frequent delivery of therapies during ventricular tachycardia (VT) and ventricular fibrillation (VF) storms, leading to premature device replacement in patients experiencing excessive episodes.
Innovation Solution
An implantable medical device (IMD) monitors cardiac signals to detect VT/VF storms, identifies storm origin characteristics, and delivers intervention therapies such as pacing therapies based on these characteristics to terminate the storm, thereby reducing the frequency of episodes and conserving battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the ICD delivers therapy for all VT/VF episodes during a storm, then the arrhythmia is treated, but the battery power is depleted rapidly
Solution Approach 1:
The system performs preliminary analysis of storm origin characteristics (identifying patterns in the minutes before VT/VF episodes) to predict and prevent storm episodes before they occur, rather than reacting after each episode. This allows the device to intervene early with targeted therapies that consume less battery power while still effectively terminating storms.
Solution Approach 2:
The system continuously monitors cardiac signals and uses feedback from episode density clocks and storm origin analysis to dynamically adjust therapy delivery. By analyzing the feedback from each episode's characteristics and modifying future intervention strategies accordingly, the system optimizes battery consumption while maintaining treatment effectiveness.
2Reliability
If the ICD delivers frequent therapies during VT/VF storm, then the arrhythmia episodes are terminated, but the device requires more frequent replacement
Solution Approach 1:
By identifying storm origin characteristics in advance and implementing preventive interventions, the system reduces the total number of therapies needed during a storm event. This extends the battery operational lifespan and delays device replacement while maintaining effective arrhythmia termination.
Solution Approach 2:
The system changes the parameters of therapy delivery based on real-time storm analysis, adjusting intensity, timing, and duration of interventions to optimize both effectiveness and battery consumption. This dynamic parameter adjustment allows fewer, more efficient therapies that extend device operational lifespan.
3Reliability
If the system monitors and analyzes storm origin characteristics, then the intervention is more effective, but the device complexity increases
Solution Approach 1:
The analysis system is segmented into distinct functional modules: episode detection, episode density tracking, storm origin characteristic identification, and intervention triggering. This modular segmentation allows complex analysis to be performed through coordinated simple functions, managing overall system complexity while maintaining high intervention effectiveness.
Data Source
AI summary
Methods, devices and program products are provided. The method is under control of one or more processors within an implantable medical device (IMD), obtains cardiac signals that comprise candidate episodes over a period of time and updates an episode count and episode density clock based on the candidate episodes within the period of time. Further, the method determines whether the candidate episodes are indicative of a ventricular storm arrhythmia based on the episode count and episode density clock, identifies a storm origin characteristic of interest preceding onset of the candidate episodes and directs the IMD to perform a storm intervention based on the identifying operation.