Surgical Evacuation Feedback Control for Smoke and Tissue Protection
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Solution Overview
Problem
Current surgical evacuation systems fail to effectively monitor and adjust energy waveforms supplied to electrosurgical instruments in real-time based on fluid parameters, leading to inefficient smoke evacuation and potential tissue damage during surgical procedures.
Innovation Solution
A surgical system comprising a pump, motor, flow path, and sensor that monitors fluid parameters, with a control circuit to adjust the energy waveform supplied to electrosurgical instruments, ensuring optimal smoke evacuation and minimizing tissue damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time monitoring and dynamic adjustment of energy waveforms is implemented, then surgical safety and smoke evacuation efficiency are improved, but device complexity increases
Solution Approach 1:
The system employs sensors to detect fluid parameters (smoke, fluid, particulate) in real-time and feeds this information back to the control circuit, which dynamically adjusts the energy waveform supplied to the electrosurgical instrument. This closed-loop feedback mechanism enables automatic optimization of surgical parameters, improving safety while managing complexity through automation.
Solution Approach 2:
The system performs self-adjustment by automatically modifying energy waveforms based on sensor feedback without requiring manual intervention. The control circuit autonomously optimizes surgical parameters by detecting fluid conditions and adjusting power delivery accordingly, reducing the burden on surgeons and improving consistency.
2Productivity
If dynamic adjustment of energy waveforms is implemented, then smoke evacuation efficiency is improved, but device complexity increases
Solution Approach 1:
The system transitions from static energy delivery to dynamic adjustment of energy waveforms in real-time. The control circuit modifies power parameters (amplitude, frequency, pulse duration) based on detected fluid conditions, enabling adaptive smoke evacuation that responds to changing surgical conditions rather than operating at fixed settings.
Solution Approach 2:
The system changes multiple energy parameters simultaneously (power level, waveform shape, pulse frequency, duty cycle) based on sensor feedback. By adjusting these parameters dynamically, the system optimizes smoke evacuation efficiency for different surgical conditions without requiring multiple separate devices.
3Object-affected harmful factors
If real-time fluid parameter monitoring is implemented, then tissue damage is reduced, but device complexity increases
Solution Approach 1:
The system takes preliminary action by detecting fluid parameters (smoke, fluid accumulation, particulate) before excessive energy delivery can cause tissue damage. The control circuit proactively adjusts energy waveforms to prevent harmful conditions rather than reacting after damage occurs, reducing thermal injury and improving patient safety.
Solution Approach 2:
Real-time sensor feedback on fluid conditions enables the control circuit to continuously monitor tissue exposure risks and adjust energy delivery accordingly. This closed-loop control prevents overheating and excessive thermal damage by reducing power when fluid accumulation or smoke generation indicates problematic conditions.
Data Source
AI summary
Surgical systems can include evacuation systems for evacuating smoke, fluid, and/or particulates from a surgical site. A surgical evacuation system can be intelligent and may include one or more sensors for detecting one or more properties of the surgical system, evacuation system, surgical procedure, surgical site, and/or patient tissue, for example.