Suction Detection Algorithm for Implantable Blood Pumps
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Solution Overview
Problem
Implantable blood pumps face challenges in detecting suction conditions, which can lead to rapid decline in flow rate and inadequate circulatory assistance if operated beyond inflow rates or if intake/outlet is occluded, making it difficult to provide sufficient assistance to patients with late-stage heart disease.
Innovation Solution
A method to determine suction in implantable blood pumps by calculating a waveform index from down-sampled log files, comparing it with a threshold, and using a non-suction trough baseline to identify suction conditions, with the results displayed in a histogram for clinical analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the blood pump operates at a flow rate in excess of the inflow rate, then the pump provides higher circulatory assistance, but suction conditions occur causing ventricle collapse and rapid flow rate decline
Solution Approach 1:
The patent implements a feedback mechanism by continuously monitoring flow rate data and calculating waveform indices to detect suction conditions. When suction is detected through waveform analysis, the system can alert clinicians or adjust pump operation to prevent ventricle collapse and maintain stable flow rates, resolving the contradiction between high productivity and flow rate stability.
2Duration of action of moving object
If the pump operates without sufficient monitoring, then the device provides continuous circulatory assistance, but suction conditions go undetected leading to inadequate assistance
Solution Approach 1:
The patent replaces complex mechanical suction detection mechanisms with a computational approach using waveform index calculation from down-sampled log files. This substitution enables continuous monitoring without additional mechanical sensors, maintaining continuous operation while improving suction detection accuracy through algorithmic analysis of existing flow rate data.
3Quantity of substance
If down-sampled log files are used for monitoring, then data storage and processing requirements are reduced, but detection of suction conditions becomes more challenging
Solution Approach 1:
The patent transforms the detection approach by calculating waveform indices from down-sampled data points, changing the parameter space from raw flow rate values to derived waveform characteristics. This parameter transformation enables effective suction detection even with reduced data volume, as the waveform index captures essential flow pattern information that indicates suction conditions.
Data Source
AI summary
A method of determining a presence of suction in a patient having an implantable blood pump from down-sampled log files. The method comprising calculating a waveform index for each of a plurality of flow rate data points from the down-sampled log files. The calculated waveform index is compared with a predetermined waveform index threshold. A non-suction trough baseline is calculated from the plurality of flow rate data points. A difference between a measured trough and a calculated non-suction trough baseline is compared with a predetermined threshold. The presence of suction for each of the plurality of flow rate data points is determined if the calculated waveform index is greater than the predetermined waveform index threshold and the difference between the measured trough and a calculated non-suction trough baseline is greater than the predetermined threshold.