Biochemical Sensor Deployment for Early Heart Failure Decompensation
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Solution Overview
Problem
Existing medical devices struggle to accurately predict acute decompensated heart failure events due to the reliance on incomplete physiological data, particularly the absence of biochemical and bacterial parameters, leading to reluctance in hospitalization decisions without recent blood tests, and the short lifespan of biochemical and bacterial sensors necessitates their deployment only when an impending event is detected.
Innovation Solution
Implementing a machine learning model in implantable medical devices to analyze physiological parameters, triggering the deployment of biochemical and bacterial sensors when an impending heart failure decompensation event is likely, thereby enhancing the accuracy of predictions and providing timely interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive monitoring methods (PAC, PA catheter) are used to obtain accurate hemodynamic data, then measurement precision is improved, but patient risk and device complexity increase
Solution Approach 1:
The patent uses biochemical markers (NT-proBNP, high-sensitivity Troponin T) as intermediaries to indirectly assess cardiac function and hemodynamic status. Instead of directly measuring pressure and flow with invasive catheters, the system measures biomarker concentrations in blood samples, which correlate with cardiac stress and damage. This intermediary approach provides accurate cardiac assessment without the risks of invasive procedures.
Solution Approach 2:
The patent replaces the mechanical invasive monitoring system (pressure catheters, flow sensors requiring surgical insertion) with a biochemical testing system. Blood samples are analyzed for biomarker concentrations using immunoassay technology, substituting mechanical pressure/flow measurements with chemical concentration measurements. This eliminates the need for invasive mechanical devices while providing comparable clinical information.
2Measurement precision
If comprehensive biochemical testing is performed to improve diagnostic accuracy, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent employs a multi-functional testing system that can measure multiple biochemical markers (NT-proBNP, high-sensitivity Troponin T, and other cardiac biomarkers) using the same platform and sample type. The system is designed to perform various cardiac assessments through a single integrated device, reducing overall system complexity compared to having separate specialized tests for each marker.
Solution Approach 2:
The patent measures multiple parameters (different biomarker concentrations) from the same blood sample to assess various aspects of cardiac function simultaneously. By changing the measured parameter type rather than requiring different invasive procedures or complex imaging systems, the approach achieves comprehensive diagnostic accuracy with a relatively simple sampling and testing workflow.
3Productivity
If frequent monitoring is implemented to improve detection speed of acute events, then productivity is improved, but loss of time for sample collection and analysis increases
Solution Approach 1:
The patent establishes baseline biomarker levels and monitoring protocols in advance, so that when acute events occur, the system can quickly compare current readings against pre-established thresholds and patterns. The testing methodology and interpretation algorithms are prepared beforehand, enabling rapid assessment of new samples without delaying analysis time.
Solution Approach 2:
The patent implements periodic blood sampling at scheduled intervals (e.g., every few hours or days) rather than continuous monitoring. This periodic approach balances the need for frequent detection with the practical constraints of sample collection and laboratory analysis, achieving effective surveillance of cardiac status without the logistical burden of continuous real-time sampling.
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
Improves the accuracy of predicting heart failure decompensation events, facilitating early intervention, reducing hospitalizations, and optimizing medication management through continuous remote monitoring and data analysis.
Implementation Method 1
the sensor is a biochemical sensor, such as an electrochemical sensor
Data Source
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AI summary
This disclosure is directed to devices, systems, and techniques for determining when to deploy sensors. Processing circuity of an example medical device system is configured to receive first sensor data. The processing circuitry is configured to determine, based on the first sensor data, a likelihood that a heart failure decompensation event of a patient is impending. The processing circuitry is configured to compare the likelihood to a first threshold. The processing circuitry is configured to, based on the likelihood satisfying the first threshold, at least one of a) generate a first instruction for output to a user to deploy one or more biochemical or bacterial sensors, or b) control an implantable medical device to automatically deploy one or more biochemical or bacterial sensors.