Implantable Device Therapy Success Interval Classification
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Solution Overview
Problem
Current implantable cardiac stimulation devices overestimate the success rate of arrhythmia therapies due to delayed detection of normal sinus rhythm, which may occur after the expected effective time period, leading to misclassification of self-terminating rhythms as successful therapy outcomes.
Innovation Solution
Implementing a method within the implantable medical device to classify heart rhythms by setting a predefined therapy success interval, distinguishing between rhythms that terminate in response to therapy and those that self-terminate, using a flow chart method to monitor and classify arrhythmia and normal sinus rhythm detection criteria, and adjusting therapy settings based on self-terminating rhythm classifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If normal sinus rhythm detection criteria are used without time limitation, then therapy success rate appears higher, but measurement precision of therapy efficacy deteriorates due to inclusion of self-terminating rhythms
Solution Approach 1:
The patent introduces a time parameter (therapy success interval) to modify the detection criteria. By limiting the detection window to a predefined interval after therapy delivery, the system distinguishes between rhythms that terminate within the effective therapy period versus those that self-terminate later. This parameter change resolves the contradiction by filtering out false positives while maintaining true successes.
2Reliability
If therapy success interval is extended, then more rhythms are classified as successful, but device complexity increases due to additional classification logic
Solution Approach 1:
The system pre-establishes the therapy success interval parameter before arrhythmia detection begins. This preliminary setting allows the device to automatically apply the time limitation without requiring complex real-time calculations or additional classification algorithms during operation. The interval is predefined and applied consistently, simplifying the overall classification logic while improving accuracy.
Data Source
AI summary
An implantable medical device and associated method classify therapy outcomes and heart rhythms in association with therapy outcome. A therapy success time interval is started in response to delivering an arrhythmia therapy. If normal sinus rhythm is detected after the therapy success time interval expires, the delivered therapy is classified as unsuccessful and the detected arrhythmia is classified as a self-terminating rhythm.