Surgical Pump Pressure Control Using Gravity Loop Algorithm
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Solution Overview
Problem
Current fluid management pump systems in surgical procedures face challenges in maintaining consistent pressure and flow rates during endoscopic and arthroscopic surgeries, particularly when dealing with unknown or unidentified surgical devices and hardware configurations, which can affect the surgical site conditions and fluid management efficiency.
Innovation Solution
The pump system employs a control processor that calculates pressure loss coefficients using algorithms and look-up tables to maintain constant desired pressure and flow rates, even with unidentified hardware, and integrates with surgical devices for real-time adjustments, ensuring optimal fluid management by using inflow and outflow control mechanisms and sensors for precise pressure regulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fluid management pump systems use standard pressure control methods, then they can operate with simple control logic, but they cannot maintain consistent pressure and flow rates when dealing with unknown or unidentified surgical devices and hardware configurations
Solution Approach 1:
The system performs preliminary identification of surgical devices and hardware configurations before fluid management operations begin. The control processor analyzes electrical characteristics, impedance values, and device signatures to pre-determine the properties of connected hardware, allowing the system to prepare appropriate control parameters in advance rather than reacting to unknown conditions during operation.
Solution Approach 2:
The system implements continuous feedback loops where the control processor monitors actual pressure and flow rate measurements from sensors, compares them against target values, and dynamically adjusts pump operation parameters. This closed-loop control ensures consistent pressure maintenance despite variations in surgical device resistance or configuration changes during the procedure.
2Productivity
If the pump system implements comprehensive device identification and adaptive control, then it can maintain optimal fluid management, but it increases the complexity of the control system and processing requirements
Solution Approach 1:
The control processor automatically identifies surgical devices, determines their resistance characteristics, and configures optimal control parameters without requiring manual intervention from surgeons or technical staff. The system self-adjusts pump speed, pressure targets, and flow rates based on real-time device detection, eliminating the need for manual system reconfiguration during procedures.
Solution Approach 2:
The system dynamically modifies operational parameters such as pump motor speed, pressure setpoints, and flow rate targets based on the identified surgical device characteristics. When different surgical instruments or hardware configurations are detected, the control processor automatically adjusts electrical parameters, fluid delivery rates, and pressure compensation values to optimize performance for each specific configuration.
3Reliability
If the system continuously monitors and adjusts pressure parameters, then it can maintain optimal surgical site conditions, but it increases the processing time and computational load
Solution Approach 1:
The control system implements periodic monitoring and adjustment cycles rather than continuous real-time processing. Pressure and flow parameters are measured at predetermined time intervals, and control adjustments are made in discrete steps based on accumulated data. This periodic approach maintains surgical site stability while reducing computational burden and processing time compared to continuous micro-adjustments.
Data Source
AI summary
A pump and pump controller which uses an algorithm to quickly achieve and maintain a set pressure in a surgical site when high resistance hardware is being used is provided. The algorithm uses a gravity control type loop and uses pressure loss calculations to quickly respond to changing joint conditions. A method of using such a pump and pump controller is also provided.