Extracorporeal Flow Monitoring for Venous Needle Dislodgement Detection
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Solution Overview
Problem
Existing systems struggle to accurately detect disruptions in the fluid connection between an extracorporeal circuit and a patient circulatory system, particularly downstream of a blood pump, such as venous needle dislodgement or access-bloodline separation, which can lead to critical conditions due to undetected blood loss.
Innovation Solution
An apparatus and method using flow sensors and a controller to monitor flow rate data in an extracorporeal circuit, identifying patient contributions to the flow rate, and detecting disruptions by analyzing changes or disappearance of these contributions, particularly through spectral analysis of the flow rate data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visual monitoring is used to detect needle dislodgment, then the system is simple and easy to operate, but detection reliability is low and may be delayed
Solution Approach 1:
The patent replaces visual monitoring (mechanical observation) with electronic flow sensing and spectral analysis. Flow sensors continuously measure blood flow in the extracorporeal circuit, and the controller performs spectral analysis on the flow rate data to automatically detect disruptions, eliminating reliance on human visual inspection and significantly improving detection reliability.
Solution Approach 2:
The system implements continuous feedback by monitoring flow rate data in real-time and comparing it against expected physiological patterns. When spectral analysis detects deviations indicating needle dislodgment or circuit disruption, the system immediately triggers an alarm, creating a closed-loop feedback mechanism that enhances detection reliability without requiring complex manual intervention.
2Measurement precision
If flow rate monitoring with spectral analysis is implemented, then detection precision is improved, but device complexity increases
Solution Approach 1:
The flow sensor serves multiple functions: it measures overall blood flow rate, detects pulsatile flow patterns through spectral analysis, and identifies disruptions by comparing patient contribution patterns. This multi-functionality allows the system to achieve high measurement precision for disruption detection while avoiding the need for separate specialized sensors for each measurement type.
Solution Approach 2:
The system uses the patient's own physiological flow patterns as the reference standard for detection. By analyzing the patient's natural pulsatile flow contribution in the spectral domain and comparing it against baseline patterns, the system performs self-validation without requiring external reference measurements or additional calibration equipment, thereby improving precision while managing complexity.
3Loss of time
If continuous flow monitoring is performed, then detection speed is improved, but energy consumption increases
Solution Approach 1:
The system performs spectral analysis on flow rate data at periodic intervals rather than continuously processing every data point. The controller analyzes flow patterns over defined time windows and compares spectral characteristics at discrete intervals, enabling rapid disruption detection while reducing computational energy consumption compared to truly continuous analysis of every incoming data point.
Data Source
AI summary
A system and method for identifying a disruption of a flow from an extracorporeal circuit to a patient circulatory system, such as a venous needle dislodgement or an access-bloodline separation, is based on flow rate data of the extracorporeal circuit. A patient contribution to the flow rate data can be identified as a harmonic and monitored to assess the presence of the disruption. The system can identify an inharmonic change, such as a spike, in the flow rate in the extracorporeal circuit, wherein the inharmonic change can be used alone or in conjunction with the identified harmonic to assess the existence of the disruption. The system can employ the spike in a blood flow rate as well as a spike in a dialysate flow rate fluidly connected to the extracorporeal circuit, wherein the spike can be used to identify the disruption.