Arterial Line Clot Detection From Hemodynamic Waveform Contradictions
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Solution Overview
Problem
Clotting events in arterial lines are difficult to detect due to minimal changes in blood pressure readings, leading to inaccurate measurements and potential misdiagnosis during critical care interventions.
Innovation Solution
A method and system for detecting clotting events in arterial lines by analyzing hemodynamic contraction and relaxation parameters derived from the arterial blood pressure waveform, using a combination of real-time signal processing and machine learning algorithms to identify contradictions in these parameters, which indicate clotting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous flush system is used to prevent clotting, then clotting prevention is improved, but measurement accuracy deteriorates due to gradual signal degradation from undetected clots
Solution Approach 1:
The system continuously monitors hemodynamic parameters (pulse pressure, dP/dt, dP/dt max) and provides feedback when clotting is detected, triggering alerts to clinicians. This feedback mechanism enables timely intervention to restore measurement accuracy while maintaining the benefits of continuous flushing.
Solution Approach 2:
The patent replaces reliance on visual waveform assessment with automated computational analysis of hemodynamic parameters. Machine learning algorithms and signal processing techniques substitute for manual clinical evaluation, enabling objective detection of clotting events that degrade measurement quality.
2Speed
If blood pressure readings are monitored continuously, then real-time monitoring is improved, but clotting detection capability worsens due to minimal changes in pressure values during clotting
Solution Approach 1:
Instead of monitoring absolute blood pressure values, the system transforms the signal to monitor derived hemodynamic parameters including pulse pressure amplitude, rate of pressure change (dP/dt), and maximum rate of pressure change (dP/dt max). These transformed parameters exhibit significant changes during clotting events, making detection feasible in real-time.
Solution Approach 2:
The system adds temporal dimension analysis by examining the rate of change of pressure over time (derivatives). Instead of analyzing static pressure values, the system detects clotting through changes in the dynamics of pressure waveform characteristics, effectively moving from spatial (amplitude) to temporal (rate of change) analysis.
3Ease of operation
If waveform analysis is performed manually by anesthesiologist, then clinical assessment is improved, but timely clotting recognition deteriorates due to small waveform size on monitor screen
Solution Approach 1:
The system creates digital copies and representations of the arterial waveform signal that can be analyzed computationally. By transforming the physical waveform into digital hemodynamic parameters, the system enables automated analysis without requiring the clinician to visually interpret small waveform displays, saving time while maintaining clinical utility.
Solution Approach 2:
The patent introduces computational algorithms and signal processing intermediaries between the raw waveform signal and clinical decision-making. These intermediaries automatically extract and highlight clinically relevant information, eliminating the need for direct visual inspection of small waveforms while preserving the essential diagnostic capabilities.
4Object-affected harmful factors
If arterial line is used for repeated blood draws, then patient comfort is improved, but risk of clotting increases due to indwelling catheter presence
Solution Approach 1:
The continuous monitoring of hemodynamic parameters provides early feedback when clotting begins to occur in the arterial line. This early detection enables timely flushing or intervention to clear clots, maintaining the benefits of indwelling catheter use while minimizing the harmful effects of clotting through proactive management.
Data Source
AI summary
The disclosure relates to a method (100) for notifying a clotting event in an arterial line (1) of a human being (2), to a corresponding system, computer program product and data carrier signal. The method (100) comprises providing (110) a hemodynamic signal indicative of an arterial blood pressure waveform (10) in the arterial line (1); determining (120) a hemodynamic contraction parameter related to a contraction of the heart based on the hemodynamic signal; determining (130) a hemodynamic relaxation parameter related to a relaxation of the heart based on the hemodynamic signal; determining (140) a clotting event in the arterial line (1) in case the hemodynamic contraction parameter indicates a decrease of contractility and the hemodynamic relaxation parameter indicates an increase of contractility, and providing (150) a signal notifying of the determined clotting event.