Blood Pump Suction Detection via Flow Rate Waveform Analysis
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Solution Overview
Problem
Existing blood pump systems lack effective monitoring and control mechanisms to prevent suction conditions, which can lead to inadequate blood flow and undesirable ventricular collapse, especially when flow rates exceed or fall short of optimal levels.
Innovation Solution
A method and control circuit that acquire flow rate data points over time, calculate waveform features such as average, amplitude, and minimum values, and determine the presence of suction conditions by analyzing these parameters, allowing for adjustments in rotor speed to maintain optimal blood flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the blood pump operates at a high flow rate to provide sufficient circulatory assistance, then the patient receives adequate blood flow support, but a suction condition may occur causing ventricular collapse and rapid flow rate decline
Solution Approach 1:
The system continuously monitors flow rate data and calculates waveform indices in real-time, feeding this information back to detect suction conditions. When a suction condition is detected through waveform analysis, the system can adjust pump operation to prevent ventricular collapse and maintain stable flow rates.
Solution Approach 2:
The system calculates waveform features and detects suction conditions before they lead to severe ventricular collapse and flow rate decline. By performing preliminary detection through continuous waveform analysis, the system can take preventive action to maintain both high flow rate and stability.
2Productivity
If the blood pump operates at excessive flow rate beyond optimal levels, then more blood is pumped through the system, but undesirable suction conditions are created causing flow rate to decline rapidly
Solution Approach 1:
The system uses continuous flow rate monitoring and waveform index calculation to provide feedback on pump performance. This feedback mechanism detects the onset of suction conditions caused by excessive flow rates, allowing the system to adjust operation and eliminate the harmful suction effect while maintaining optimal productivity.
Solution Approach 2:
The system monitors waveform parameters such as flow rate amplitude and minimum values to detect changes indicating suction conditions. By analyzing these parameter changes, the system can identify when flow rate becomes excessive and adjust operational parameters to prevent harmful suction effects.
3Reliability
If flow rate monitoring and suction detection capabilities are added to the blood pump system, then suction conditions can be detected and prevented, but the device complexity increases
Solution Approach 1:
The system uses its existing flow rate measurement capabilities to self-diagnose suction conditions by analyzing waveform characteristics of the measured data. This self-service approach allows suction detection without requiring separate sensors or additional measurement systems, thereby limiting the increase in device complexity.
Solution Approach 2:
The flow rate measurement system serves multiple functions: it monitors overall flow rate, characterizes waveform features, detects suction conditions, and provides feedback for control. This multi-functionality allows reliable suction detection while avoiding the need for separate dedicated detection systems, thus limiting complexity increase.
Data Source
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AI summary
The present disclosure provides for a method, control device (140), and implantable system (100), for acquiring a plurality of flow rate data points over time, each data point indicative of a flow rate of blood through an implantable blood pump (101), calculating, based on the plurality of acquired flow rate data points, a value characterizing one or more features (710, 720, 730, 740) of a waveform formed from the plurality of flow rate data points; and determining, based on the value, the presence or absence of a suction condition in the pump.