Leadless Dual-Chamber Pacing False Message Mitigation
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Solution Overview
Problem
Implantable medical devices face challenges in accurately distinguishing between true and false messages due to noise interference, leading to inappropriate responses and power consumption issues in dual chamber pacemaker systems.
Innovation Solution
Implementing a method that includes error detection and correction, quality measurement, and threshold-based rejection of messages to reduce false message acceptance, where the quality measure is determined by error detection results and adjusted using an equation to compare against thresholds, and considering the message and channel quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If simple messaging and error correction schemes are used to keep power consumption low, then energy efficiency is improved, but false messages may still get through reducing reliability
Solution Approach 1:
The system performs preliminary quality assessment of received messages using multiple criteria (signal strength, timing, error detection codes) before fully processing and acting on the message. This preliminary filtering action prevents false messages from triggering unnecessary responses, maintaining reliability while avoiding the energy cost of full processing for every received signal.
Solution Approach 2:
The patent implements a tiered error detection approach where basic error checking is always performed, but more intensive verification (such as requesting retransmission or performing additional validation) is applied selectively based on the quality assessment. This partial action approach provides adequate protection against false messages without the excessive energy consumption of always using the most rigorous detection methods.
2Reliability
If noise filtering and quality assessment are implemented to reduce false messages, then reliability is improved, but device complexity increases
Solution Approach 1:
The quality assessment system is segmented into independent checkable components: signal strength measurement, timing validation, and error detection code verification. Each component operates independently and contributes to the overall quality score, allowing the system to achieve high reliability through multiple simple checks rather than one complex verification process.
Solution Approach 2:
The messaging system uses universal quality thresholds and assessment criteria that can be applied to all messages regardless of type or source. This multi-functional approach allows the same reliability mechanisms to protect against false messages in various scenarios without requiring separate complexity for each case.
3Reliability
If multiple quality checks and thresholds are used to filter messages, then false message acceptance is reduced, but processing time increases
Solution Approach 1:
The system performs quick preliminary quality checks (signal strength, basic timing validation) immediately upon receiving a message to determine if it warrants full processing. This preliminary action filters out obviously false messages rapidly, reducing the time spent on detailed verification for messages that will ultimately be rejected anyway.
Solution Approach 2:
Different quality thresholds and check rigor levels are applied based on the local context - such as the current operational state of the device, the expected message rate, and the criticality of the message type. This allows the system to be more stringent when reliability is paramount and more efficient when speed is prioritized, optimizing the time-reliability tradeoff dynamically.
Data Source
AI summary
Implantable medical devices (IMDs), and methods for use therewith, reduce how often an IMD accepts false messages. Such a method can include receiving a message and performing error detection and correction on the message. Such a method can also include determining a quality measure indicative of a quality of the message and/or a quality of a channel over which the message was received, and determining whether to reject the message based on the quality measure.