Intelligent Thrombus Aspiration System Using Neural Network Suction Control
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Solution Overview
Problem
Existing thrombus aspiration systems lack intelligence, making it impossible to generate an optimum suction scheme based on patient conditions and catheter diameter, leading to ineffective operations with prolonged suction durations causing bleeding and pain, especially for large thrombi.
Innovation Solution
An intelligent thrombus aspiration system incorporating a negative pressure suction pump, blood collection tank, thrombus aspiration connection unit, suction catheter, and man-machine interaction module, which uses neural networks to analyze historical treatment data and adjust suction frequency and pressure dynamically based on real-time suction states to optimize suction strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous suction operation is performed to ensure complete thrombus removal, then thrombus aspiration effectiveness is improved, but suction duration becomes too long causing bleeding and pain
Solution Approach 1:
The system implements periodic suction action by automatically adjusting the suction pump to operate in cycles rather than continuously. The control unit monitors suction state in real-time and switches the suction pump between working and idle states, creating periodic suction intervals that maintain effectiveness while reducing total suction duration and preventing bleeding complications
Solution Approach 2:
The system employs feedback control by continuously monitoring suction state parameters (such as pressure differential, flow rate, or thrombus detection signals) and using this information to automatically adjust suction duration and intensity. When the thrombus is fully removed or bleeding risk is detected, the system automatically terminates suction, ensuring complete removal while minimizing duration
2Productivity
If suction frequency is increased to reduce treatment time, then productivity is improved, but bleeding risk increases due to prolonged suction duration
Solution Approach 1:
The system uses periodic suction cycles with optimized frequency and duration parameters. Rather than continuous high-frequency suction, the system implements intermittent suction bursts separated by brief idle periods, maintaining treatment efficiency while allowing tissue recovery and reducing cumulative bleeding risk
Solution Approach 2:
The suction frequency and duration are dynamically adjusted based on real-time feedback from the suction state monitoring system. The control unit modifies suction parameters adaptively during the procedure, increasing frequency when thrombus load is high and reducing it when approaching complete removal or detecting bleeding risk
3Adaptability or versatility
If doctor-based suction strategy is used based on experience, then adaptability is improved, but manufacturing precision and consistency deteriorate due to lack of standardization
Solution Approach 1:
The system performs self-service by automatically determining optimal suction parameters based on patient-specific data and thrombus characteristics. The control unit independently calculates and adjusts suction frequency, duration, and intensity without relying on doctor experience, ensuring consistent and standardized treatment parameters while maintaining adaptability through automated decision-making algorithms
4Productivity
If high suction negative pressure is applied to remove large thrombus quickly, then productivity is improved, but object-generated harmful factors increase due to vessel damage and bleeding
Solution Approach 1:
The suction negative pressure is dynamically adjusted during the procedure rather than maintained at a constant high level. The control unit modulates pressure in real-time based on thrombus characteristics, vessel response, and suction effectiveness, applying high pressure only when necessary for large thrombi and reducing it when vessel damage risk increases
Solution Approach 2:
The system changes suction parameters (negative pressure magnitude, frequency, duration) based on thrombus size, composition, and location. For large adherent thrombi, the system applies optimized pressure parameters that balance removal efficiency with vessel safety, automatically adjusting parameters to prevent vessel damage while maintaining effective thrombus aspiration
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 automatically provides an optimal suction strategy, reducing bleeding and improving suction efficiency by selecting the appropriate catheter diameter and adjusting suction parameters, thereby enhancing the clinical effectiveness of thrombus aspiration.
Implementation Method 1
a negative pressure is applied to a proximal end of the suction catheter so that the foreign matter moves along an internal cavity of the suction catheter to the outside
Data Source
AI summary
The present disclosure relates to the field of medical equipment, and provides an intelligent thrombus aspiration system, including a negative pressure suction pump, a blood collection tank, a thrombus aspiration connection unit, a suction catheter and a man-machine interaction module. The man-machine interaction module is configured to transmit a target catheter diameter of the suction catheter to the thrombus aspiration connection unit in response to a command for selecting the target catheter diameter. The thrombus aspiration connection unit is configured to obtain historical treatment data corresponding to the target catheter diameter, cluster the historical treatment data through a neural network model so as to obtain a target suction frequency, a target suction duration and a target suction negative pressure corresponding to the target catheter diameter, and control the negative pressure suction pump and the suction catheter in accordance with the target suction frequency, the target suction duration and the target suction negative pressure. According to the present disclosure, it is able to automatically generate an optimum suction strategy corresponding to the target catheter diameter, determine a suction state of the suction catheter, thereby to reduce the amount of bleeding of a patient without reducing the suction efficiency, and remarkably improve a clinical effect of thrombus aspiration.