PPG Fluid Responsiveness Prediction with Perfusion Correction
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Solution Overview
Problem
Current methods for predicting a patient's fluid responsiveness during fluid loading are invasive, posing risks and being time-consuming, while non-invasive alternatives like respiratory variation in photoplethysmography (PPG) signals lack accuracy at low perfusion states.
Innovation Solution
A medical monitoring system processes PPG signals to calculate a fluid responsiveness predictor (FRP) value, applying corrections based on perfusion status to enhance correlation with invasive metrics like PPV, thereby providing a non-invasive and accurate prediction of fluid responsiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If respiratory variation in PPG signal is used to predict fluid responsiveness, then non-invasive measurement is achieved, but accuracy deteriorates at low perfusion states
Solution Approach 1:
The patent transforms the raw PPG signal into a corrected fluid responsiveness predictor by applying mathematical corrections based on perfusion status. The system calculates a correction factor that adjusts the relationship between PPG amplitude variations and actual fluid responsiveness, converting the unreliable raw metric into an accurate prediction tool even at low perfusion states.
Solution Approach 2:
The patent introduces a correction factor as an intermediary element that mediates between the PPG signal and the fluid responsiveness prediction. This correction factor, derived from perfusion status indicators, acts as a bridge that compensates for the degraded signal quality at low perfusion states, enabling accurate predictions without invasive measurements.
2Measurement precision
If invasive arterial line is used to obtain PPV waveform, then measurement accuracy is improved, but patient risk and time consumption increase
Solution Approach 1:
The patent creates a non-invasive copy of the invasive PPV measurement by using PPG signal variations. The system processes the optical PPG signal to generate a corrected fluid responsiveness predictor that replicates the information obtained from invasive arterial pressure waveform analysis, eliminating the need for arterial line placement while maintaining prediction accuracy.
3Measurement precision
If invasive arterial line placement is performed, then fluid responsiveness prediction accuracy is improved, but procedure time and complexity increase
Solution Approach 1:
The patent replaces the mechanical invasive arterial line placement with an optical measurement system. Instead of physically inserting a catheter into the arterial system, the system uses photodetectors to measure light absorption changes in the tissue, substituting a minimally invasive optical method for the invasive mechanical procedure while achieving comparable prediction accuracy.
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
The system effectively predicts fluid responsiveness with strong correlation to PPV, enabling informed fluid therapy decisions without invasive procedures, improving patient outcomes and reducing hospital costs.
Implementation Method 1
a photodetector to detect light absorbed by the patient's tissue and generate a photoplethysmography signal
Data Source
AI summary
The present invention relates to physiological signal processing, and in particular to methods and systems for processing physiological signals to predict a fluid responsiveness of a patient. A medical monitor for monitoring a patient includes an input receiving a photoplethysmograph (PPG) signal representing light absorption by a patient's tissue. The monitor also includes a perfusion status indicator indicating a perfusion status of the PPG signal, and a fluid responsiveness predictor (FRP) calculator programmed to calculate an FRP value based on a respiratory variation of the PPG signal. The FRP calculator applies a correction factor based on the perfusion status indicator.