Surgical End Effector Closure Control for Consistent Tissue Compression
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Solution Overview
Problem
Current surgical systems lack the ability to dynamically adjust closure parameters in real-time based on perioperative information and sensed tissue conditions, leading to suboptimal tissue compression and stapling performance.
Innovation Solution
A surgical system with a motor-driven end effector that adjusts closure rate and threshold parameters based on real-time sensor feedback and perioperative data, utilizing a control circuit connected to a cloud-based system for data processing and adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If closure parameters are fixed and not adjusted in real-time, then the device complexity is reduced, but the tissue compression consistency and stapling precision deteriorate
Solution Approach 1:
The closure rate of change parameter and closure threshold parameter are made dynamically adjustable during the surgical procedure. The control circuit receives real-time sensor signals indicating tissue compression conditions and automatically adjusts these parameters to optimize stapling precision for different tissue types and surgical scenarios, transitioning from static to dynamic control.
Solution Approach 2:
A sensor is integrated into the end effector to detect real-time closure parameters and tissue compression conditions. The sensor transmits signals to the control circuit, which processes this feedback information and automatically adjusts the closure rate of change parameter and closure threshold parameter to maintain optimal stapling precision throughout the procedure.
2Stability of the object's composition
If closure parameters are adjusted dynamically based on sensor feedback, then the tissue compression consistency is improved, but the device complexity increases
Solution Approach 1:
The control circuit is configured to automatically adjust closure parameters based on sensor feedback without requiring manual intervention from the surgeon. The system self-regulates by receiving sensor signals indicating tissue compression conditions and autonomously modifying the closure rate of change parameter and closure threshold parameter to maintain consistent tissue compression throughout the procedure.
Solution Approach 2:
Manual mechanical adjustment of closure parameters by the surgeon is replaced with an automated electronic control system. The control circuit processes sensor signals and electronically adjusts motor-driven closure parameters, substituting manual mechanical control with automated electro-mechanical control to achieve more precise and consistent tissue compression.
3Adaptability or versatility
If real-time parameter adjustment is implemented, then the adaptability to varying tissue conditions is improved, but the loss of time for data processing increases
Solution Approach 1:
The control circuit is pre-programmed with algorithms and decision logic that enable it to process sensor signals and determine appropriate parameter adjustments automatically during the surgical procedure. This preliminary configuration of control logic allows for rapid real-time adaptation to varying tissue conditions without requiring complex on-the-fly calculations or manual decision-making.
Data Source
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AI summary
A surgical system includes a surgical instrument, an end effector, a control circuit, and a sensor configured to transmit a sensor signal indicative of a closure parameter of the end effector. The control circuit is configured to adjust a closure rate of change parameter and the closure threshold parameter based on perioperative information received from one or more data sources and a sensor signal received from the sensor.