Cardiovascular Pressure Verification via Electrical Timing Comparison
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Solution Overview
Problem
Existing implantable medical devices face challenges in reliably monitoring cardiovascular pressure metrics due to interference from factors like respiration and motion, which can lead to inaccurate readings and increased power consumption when comparing raw cardiovascular pressure signals with electrical depolarization signals.
Innovation Solution
The implementation of techniques that compare cardiovascular pressure metrics, such as cardiac pulse intervals, with corresponding cardiac electrical metrics, like depolarization intervals, to verify the reliability of pressure metrics and discard unreliable data, thereby reducing the need for continuous signal comparison and conserving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous comparison of raw cardiovascular pressure signal with electrical depolarization signal is performed to verify reliability, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system performs preliminary processing of the pressure signal to extract key metrics (pulse rate, pulse pressure, mean pressure) before comparison with electrical metrics. This preliminary extraction reduces the amount of data that needs to be transmitted and processed continuously, thereby reducing power consumption while maintaining verification capability
Solution Approach 2:
The invention extracts only the essential verification information (timing metrics and pressure metrics) from the continuous signals for comparison purposes. By taking out only the necessary data points rather than processing the entire raw signal continuously, the system achieves reliable verification with reduced energy consumption
2Measurement precision
If continuous monitoring of cardiovascular pressure is performed to ensure accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The pressure signal processing is segmented into distinct functional components: pulse detection, timing measurement, pressure measurement, and verification comparison. Each component processes a specific aspect of the signal independently, making the overall system more manageable and less complex while maintaining comprehensive monitoring capability
Solution Approach 2:
The system uses feedback from the verification comparison to determine whether to accept or reject pressure metrics. By comparing extracted pressure metrics with electrical metrics and using this feedback to validate reliability, the system achieves accurate monitoring without requiring complex continuous processing of all signal data
3Measurement precision
If verification of pressure metrics is performed to improve reliability, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary extraction of timing metrics and pressure metrics from the continuous signals before the verification comparison is made. This preliminary processing allows the verification to be performed more efficiently with less time required, as the data is already prepared in the necessary format for direct comparison
Solution Approach 2:
The invention performs partial verification by comparing only the most critical metrics (pulse rate and timing information) rather than all possible parameters. This partial verification approach provides sufficient reliability assurance with minimal time investment, avoiding excessive processing time while maintaining adequate verification
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the reliability of cardiovascular pressure monitoring, reduces power consumption, and allows for more accurate delivery of therapy or diagnostic information based on verified pressure metrics.
Implementation Method 1
pressure sensors configured to detect changes in blood pressure. Example pressure sensors that may be useful for measuring blood pressure may employ capacitive, piezoelectric, piezoresistive, electromagnetic, optical, resonant-frequency, or thermal methods of pressure transduction
Implementation Method 2
pressure sensors configured to detect changes in blood pressure. Example pressure sensors that may be useful for measuring blood pressure may employ capacitive, piezoelectric, piezoresistive, electromagnetic, optical, resonant-frequency, or thermal methods of pressure transduction
Implementation Method 3
pressure sensors configured to detect changes in blood pressure. Example pressure sensors that may be useful for measuring blood pressure may employ capacitive, piezoelectric, piezoresistive, electromagnetic, optical, resonant-frequency, or thermal methods of pressure transduction
Implementation Method 4
pressure sensors configured to detect changes in blood pressure. Example pressure sensors that may be useful for measuring blood pressure may employ capacitive, piezoelectric, piezoresistive, electromagnetic, optical, resonant-frequency, or thermal methods of pressure transduction
Implementation Method 5
pressure sensors configured to detect changes in blood pressure. Example pressure sensors that may be useful for measuring blood pressure may employ capacitive, piezoelectric, piezoresistive, electromagnetic, optical, resonant-frequency, or thermal methods of pressure transduction
Implementation Method 6
pressure sensors configured to detect changes in blood pressure. Example pressure sensors that may be useful for measuring blood pressure may employ capacitive, piezoelectric, piezoresistive, electromagnetic, optical, resonant-frequency, or thermal methods of pressure transduction
Implementation Method 7
pressure sensors configured to detect changes in blood pressure. Example pressure sensors that may be useful for measuring blood pressure may employ capacitive, piezoelectric, piezoresistive, electromagnetic, optical, resonant-frequency, or thermal methods of pressure transduction
Data Source
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AI summary
An example system may include at least one pressure sensor configured to measure a cardiovascular pressure signal and another medical device configured to measure an electrical depolarization signal of the heart. The system determines a plurality of cardiovascular pressure metrics based on the measured cardiovascular pressure signal, including at least one cardiovascular pressure metric indicative of a timing of at least one cardiac pulse. The system also determines a metric indicative of a timing of at least one heart depolarization within the measured electrical depolarization signal. The system compares the timing of the at least one cardiac pulse to the timing of the at least one depolarization, and determines whether to discard the plurality of cardiovascular pressure metrics based on whether the timings substantially agree.