Bioimpedance SVR Monitoring Using Pacemaker Blood Pressure Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for determining systemic vascular resistance (SVR) are inaccurate and cannot provide continuous, real-time measurements, especially for patients with cardiac pacemakers, due to limitations in traditional bioimpedance devices and invasive techniques that fail to account for hemodynamic variables and fluid accumulation.
Innovation Solution
A method and system using bioimpedance measurements in conjunction with blood pressure data from pacemakers to estimate stroke volume, combined with heart rate and mean arterial pressure, allowing for continuous and accurate determination of SVR through a machine learning model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional bioimpedance devices are used to measure SVR, then the measurement can be performed non-invasively, but the accuracy and continuity of the measurement deteriorates due to inability to account for hemodynamic variables and fluid accumulation
Solution Approach 1:
The patent combines multiple measurement approaches (bioimpedance, blood pressure monitoring, and hemodynamic variable analysis) into a unified SVR determination system. The processor integrates data from various sources including bioimpedance measurements, blood pressure readings, and hemodynamic variables to calculate accurate SVR values, thereby resolving the contradiction between non-invasive operation and measurement precision.
Solution Approach 2:
The system continuously monitors hemodynamic variables and uses this feedback to adjust and refine SVR measurements. The processor analyzes changes in hemodynamic variables over time and incorporates this information into the SVR calculation, enabling continuous accurate measurement while maintaining non-invasive operation through real-time feedback loops.
2Measurement precision
If invasive techniques are used to measure SVR, then measurement precision improves, but device complexity and patient risk increase
Solution Approach 1:
The patent introduces hemodynamic variables as intermediary parameters that bridge the gap between simple bioimpedance measurements and complex invasive measurements. These variables serve as mediators that enable accurate SVR calculation without requiring direct invasive access, thereby maintaining measurement precision while reducing device complexity and patient risk.
3Productivity
If continuous real-time SVR measurement is implemented, then monitoring effectiveness improves, but device complexity and computational requirements increase
Solution Approach 1:
The system performs preliminary processing of hemodynamic variables and bioimpedance data in advance, preparing the information for rapid SVR calculation. By pre-processing and storing hemodynamic variable data, the system enables continuous real-time SVR measurement without requiring complex computational operations at the moment of measurement, thus improving productivity while managing device complexity.
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
Enables continuous, accurate monitoring and treatment of conditions like hypertension and heart failure by providing real-time SVR measurements, improving patient outcomes and reducing the need for invasive procedures.
Implementation Method 1
receiving a first bioimpedance from a first electrode and a second bioimpedance from a second electrode
Data Source
AI summary
Methods, systems, and computer-readable medium for determining a systemic vascular resistance (SVR), by receiving a systolic blood pressure (SBP) and a diastolic blood pressure (DBP) from one or more blood pressure devices, receiving a first bioimpedance from a first electrode and a second bioimpedance from a second electrode, determining a stroke volume based on a difference between the first bioimpedance and the second bioimpedance, determining a mean arterial pressure (MAP) based on the SBP and the DBP, receiving a heart rate, determining a cardiac output based on the heart rate and the stroke volume, determining a first value based on a right atrial pressure (RAP) or central venous pressure (CVP) and the map, determining a second value based on the first value and the cardiac output, and determining a SVR based on the second value and a factor.


