Electrosurgical System Impedance Error Detection
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Solution Overview
Problem
In electrosurgery, existing systems face challenges in accurately controlling mechanical parameters like pressure and electrode gap distance, and ensuring controlled electrosurgical energy application for effective tissue sealing, often leading to errors that can hinder safe and effective tissue treatment.
Innovation Solution
A method and system that utilize impedance feedback to detect errors during electrosurgical procedures, determine the cause of errors using additional feedback data from sensors or machine learning algorithms, and adjust energy delivery accordingly, either enabling or inhibiting electrosurgical energy based on error recoverability to ensure safe tissue treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mechanical clamping action and electrical energy are used to treat tissue, then tissue sealing effectiveness is improved, but system complexity and error detection difficulty increase
Solution Approach 1:
The system continuously monitors impedance during electrosurgical energy delivery and uses this feedback to detect errors in real-time. The processor compares measured impedance values against expected ranges to identify problems such as improper tissue grasping, electrode misalignment, or tissue type mismatches, enabling immediate correction while maintaining effective tissue sealing.
Solution Approach 2:
The system performs preliminary impedance measurements before delivering electrosurgical energy to verify proper tissue grasping and electrode positioning. By checking impedance characteristics in advance, the system prevents errors from occurring during energy delivery, ensuring reliable tissue sealing while maintaining manageable system complexity through proactive error prevention.
2Object-affected harmful factors
If impedance feedback monitoring is implemented to detect errors, then safety is improved, but device complexity increases
Solution Approach 1:
The impedance monitoring system serves multiple functions simultaneously: it detects tissue type, verifies proper grasping, monitors energy delivery conditions, and identifies errors. This multi-functional approach enhances safety without proportionally increasing device complexity, as a single impedance measurement system performs what would otherwise require multiple separate sensing mechanisms.
Solution Approach 2:
The system uses the existing electrical circuitry and impedance measurement capabilities inherent to electrosurgical devices to monitor safety conditions. By leveraging the device's own operational parameters for self-diagnosis and error detection, the system enhances safety without requiring extensive additional hardware or complex external monitoring systems.
3Measurement precision
If multiple sensors and machine learning algorithms are used to determine error causes, then measurement precision is improved, but device complexity and processing requirements increase
Solution Approach 1:
The system replaces complex mechanical sensing mechanisms with electrical impedance measurements to detect and diagnose errors. By using electrical properties rather than mechanical sensors, the system achieves high measurement precision for tissue characterization and error detection while reducing mechanical complexity and processing requirements compared to multi-sensor mechanical systems.
4Reliability
If real-time error detection and correction are implemented, then tissue treatment reliability is improved, but energy delivery time increases
Solution Approach 1:
The system performs rapid impedance checks before energy delivery to verify proper conditions, preventing errors before they occur. This preliminary verification ensures reliable tissue treatment while minimizing time loss, as the impedance measurement occurs in parallel with or immediately before energy delivery preparation rather than requiring separate correction cycles.
Solution Approach 2:
The system uses quick impedance threshold comparisons to rapidly identify obvious errors that would prevent successful tissue sealing. By implementing fast decision logic that skips detailed analysis for clearly erroneous conditions, the system maintains high reliability while minimizing the time added to the energy delivery process.
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
This approach enhances the reliability of tissue sealing by accurately identifying and addressing errors, ensuring safe and effective energy delivery, and preventing further energy application when errors are not recoverable, thus improving the consistency and safety of electrosurgical procedures.
Implementation Method 1
electrical current is conducted through tissue positioned between electrodes of different polarity to heat and thereby treat the tissue
Implementation Method 2
determining, based on impedance feedback from the electrosurgical energy, whether an error exists
Data Source
AI summary
A method of sealing tissue includes attempting to grasp tissue between first and second jaw members of an end effector assembly of an electrosurgical instrument, attempting to conduct electrosurgical energy between the first and second jaw members, and determining, based on impedance feedback from the electrosurgical energy, whether an error exists. In a case where no error is detected, the method includes implementing a tissue treating algorithm to treat tissue grasped between the first and second jaw members. The tissue treating algorithm includes conducting electrosurgical energy between the first and second jaw members and through tissue grasped therebetween. In a case where an error is detected, the method includes determining, based on additional feedback data, a cause of the error, and outputting an alarm indicating the error and the cause of the error.