Hemodynamic Monitor Using Pressure Waveforms for Ejection Fraction Screening
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Solution Overview
Problem
Existing methods for measuring ejection fraction require specialized equipment and trained personnel, are costly, and take days or weeks to provide results, limiting access and delaying patient treatment.
Innovation Solution
A hemodynamic monitor that uses a non-invasive or minimally invasive blood pressure sensor and machine learning to analyze arterial pressure waveforms, determining ejection fraction scores and alerting patients or medical personnel to potential heart failure risks through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional image tests (echocardiogram, MUGA scan, CT scan) are used to measure ejection fraction, then measurement precision is improved, but device complexity and cost increase, and accessibility decreases
Solution Approach 1:
The patent replaces complex mechanical imaging systems (echocardiogram, MUGA scan, CT scan) with a simplified hemodynamic monitoring system that uses arterial pressure waveform analysis. The system substitutes sophisticated imaging hardware with a pressure sensor and computational algorithm that processes arterial pressure data to derive ejection fraction, thereby reducing device complexity while maintaining measurement capability
Solution Approach 2:
The patent introduces arterial pressure waveform as an intermediary measurement that can be obtained through simple blood pressure monitoring. Instead of directly imaging the heart, the system uses arterial pressure changes as a mediator to infer ejection fraction, enabling measurement without complex imaging equipment
2Measurement precision
If traditional image tests are used to measure ejection fraction, then measurement precision is improved, but loss of time increases due to days or weeks wait for results
Solution Approach 1:
The patent replaces time-consuming imaging processing and specialist interpretation with real-time computational analysis of arterial pressure waveforms. The system uses automated algorithms to continuously process pressure data and calculate ejection fraction, providing immediate results without the days or weeks delay associated with traditional imaging workflows
Solution Approach 2:
The patent enables continuous monitoring of arterial pressure and continuous calculation of ejection fraction, providing ongoing real-time assessment rather than periodic batch processing. This continuous action allows immediate detection of changes in ejection fraction without waiting for scheduled imaging appointments and result delivery
3Measurement precision
If traditional image tests are used to measure ejection fraction, then measurement precision is improved, but loss of time increases due to travel to specialists
Solution Approach 1:
The patent enables primary care providers to perform ejection fraction measurement themselves using the hemodynamic monitoring system, eliminating the need to refer patients to cardiologists for initial screening. The system is designed to be operable by non-specialists, allowing primary care clinics to independently conduct accurate ejection fraction assessments without external specialist involvement
Solution Approach 2:
The patent uses arterial pressure waveform analysis as an intermediary method that can be performed in any primary care setting without requiring specialist facilities. This intermediary approach bridges the gap between simple blood pressure monitoring and sophisticated cardiac assessment, enabling accurate measurement at the point of care
4Measurement precision
If traditional image tests are used to measure ejection fraction, then measurement precision is improved, but cost increases
Solution Approach 1:
The patent replaces expensive imaging equipment and specialist interpretation services with affordable hemodynamic monitoring hardware and automated software analysis. The system substitutes costly mechanical imaging systems with simpler pressure sensing technology and computational algorithms, dramatically reducing the cost of ejection fraction measurement while maintaining clinical utility
Solution Approach 2:
The patent employs disposable or low-cost arterial pressure sensors and single-use components in the hemodynamic monitoring system, replacing expensive reusable imaging equipment. This approach reduces capital investment and operational costs while providing accurate ejection fraction measurement through ephemeral, affordable sensing elements
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
Provides rapid, accessible ejection fraction screening at a primary care level, reducing wait times and enabling timely patient triaging for heart failure risk.
Implementation Method 1
an optical transmitter and an optical receiver that are electrically connected to the pressure controller
Implementation Method 2
adjust, by the pressure controller, a pressure within the inflatable blood pressure bladder to maintain a constant volume of an artery of a patient for a period of time based on a feedback signal generated by the optical transmitter and the optical receiver
Data Source
AI summary
A hemodynamic monitor includes a non-invasive blood pressure sensor and an integrated hardware unit with a system processor, a system memory, and a display with a user interface. The system memory includes instructions that are configured to: adjust, by a pressure controller, a pressure within an inflatable blood pressure bladder to maintain a constant volume of an artery of a patient for a period of time; generate an arterial pressure waveform data of the patient based on the adjusted pressure within the inflatable blood pressure bladder over the period of time; extract a plurality of signal measures from the arterial pressure waveform data of the patient; extract input features from the plurality of signal measures that are indicative of an ejection fraction score of the patient; and determine the ejection fraction score of the patient based on the extracted input features.