Implantable Device Automatic Threshold Setting Reduces False Alarms
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Solution Overview
Problem
Implantable medical devices often trigger false alarms due to non-individualized threshold settings for physiological events, causing inconvenience to patients and clinicians.
Innovation Solution
An implantable medical device system that automatically sets a patient alarm threshold based on individualized physiological parameter data, using external event signals and stored parameter data to determine a specific threshold for each patient, thereby reducing false alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a nominal threshold value is used for triggering patient alarm, then the device can be manufactured and deployed quickly with simple settings, but false alarms occur due to lack of individualization
Solution Approach 1:
The system performs preliminary monitoring and analysis of physiological parameters during an initial period to establish patient-specific baseline data and determine individualized alarm thresholds before actual alarm functionality is activated. This preliminary action resolves the contradiction by preparing accurate thresholds in advance, ensuring both ease of deployment and high alarm accuracy.
Solution Approach 2:
The device automatically monitors its own physiological parameters, analyzes the data to establish baseline patterns, and self-configures individualized alarm thresholds without requiring manual programming by clinicians. This self-service capability eliminates the need for complex manual threshold setting while ensuring accurate, patient-specific alarm levels from the start.
2Reliability
If individualized threshold settings are implemented for each patient, then false alarms are reduced and alarm accuracy improves, but device complexity and programming time increase
Solution Approach 1:
The system automatically performs preliminary monitoring and threshold determination during an initial setup period, eliminating the need for complex manual programming. The device independently analyzes physiological data to establish patient-specific thresholds, thereby achieving high alarm accuracy without increasing operational complexity for clinicians.
Solution Approach 2:
The device autonomously monitors physiological parameters, identifies patient-specific patterns, and self-configures individualized alarm thresholds without external intervention. This self-service approach maintains high alarm accuracy while keeping the device simple to deploy and operate, as no manual programming is required.
3Reliability
If automatic threshold determination using patient data is implemented, then false alarms are reduced, but additional data processing and analysis capabilities are required
Solution Approach 1:
The device automatically monitors physiological parameters, processes the collected data to establish baseline patterns, and determines individualized alarm thresholds without external intervention. This self-service data processing approach achieves high alarm accuracy while keeping the system integrated and manageable, as the processing capabilities are built into the device itself.
Data Source
AI summary
An implantable medical device includes a sensor for sensing a first signal in a patient, detection circuitry for receiving the first signal, determining a parameter therefrom, and detecting a first event in response to the parameter. The device further includes control circuitry configured to receive a second signal corresponding to a second event and to determine a threshold from the stored parameter in response to receiving the second event signal. The detection circuitry detects the first event in response to the parameter crossing the determined threshold.