Electrosurgical RF Amplitude Control Using Frequency-Bin Feedback
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Solution Overview
Problem
Existing electrosurgical devices face challenges in precisely controlling radiofrequency energy delivery for procedures like transseptal punctures, leading to inefficiencies and potential complications due to variations in tissue puncture quality.
Innovation Solution
An electrosurgical generator with a closed feedback loop system adjusts RF energy amplitude based on a rolling sum of addends derived from sampled outputs in frequency bins, utilizing a proportional-integral-derivative mechanism to maintain precise control over the energy delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional electrosurgical devices apply RF energy with simple voltage control, then the device complexity is low, but the manufacturing precision of tissue puncture is insufficient
Solution Approach 1:
The patent implements a closed-loop feedback control system that continuously monitors the RF energy signal characteristics and adjusts the amplitude dynamically. The controller receives feedback about the actual RF signal delivered and compares it to the desired signal characteristics, then modifies the output accordingly to maintain precise control over tissue puncture energy delivery.
Solution Approach 2:
The system transitions from static voltage control to dynamic amplitude modulation. The RF energy signal amplitude is continuously adjusted during operation based on real-time feedback, allowing the system to adapt to varying tissue properties and maintain optimal puncture conditions throughout the procedure.
2Reliability
If RF energy amplitude is adjusted dynamically based on feedback, then the reliability of energy delivery is improved, but the device complexity increases
Solution Approach 1:
The closed-loop feedback mechanism continuously monitors RF signal characteristics and adjusts amplitude to maintain consistent energy delivery despite variations in tissue impedance or other procedural factors, significantly improving reliability.
Solution Approach 2:
The system performs self-regulation by automatically adjusting its own output based on internal feedback without requiring external intervention. The controller autonomously maintains optimal RF energy delivery by comparing actual output to target parameters and making real-time corrections.
3Manufacturing precision
If frequency-based control with rolling sum calculation is implemented, then the manufacturing precision of puncture is enhanced, but the loss of time for calculation increases
Solution Approach 1:
The system performs frequency bin analysis and rolling sum calculations on previously acquired RF signal data before making adjustment decisions. By preparing computational results in advance from historical data, the system minimizes real-time calculation requirements and enables rapid control responses.
Solution Approach 2:
The control system operates in periodic cycles, accumulating frequency analysis data over multiple signal periods and performing rolling sum calculations at regular intervals. This periodic approach allows the system to process information efficiently without requiring continuous heavy computation, maintaining precision while managing time requirements.
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 precision and consistency of tissue punctures by stabilizing energy delivery, improving procedural efficiency and reducing complications.
Implementation Method 1
adjust an amplitude of a radiofrequency (RF) energy signal provided to the active terminal
Implementation Method 2
the adjusted amplitude based on a setpoint and an input in a closed feedback loop
Implementation Method 3
the input is based on a rolling sum of a plurality of addends, each addend of the plurality of addends based on a sampled output of the RF energy signal associated with a frequency bin
Data Source
AI summary
An electrosurgical generator and system include device terminals including an active terminal and a return terminal and a controller. The controller adjusts an amplitude of a radiofrequency (RF) energy signal provided to the active terminal. The adjusted amplitude is based on a setpoint and an input in a closed feedback loop. The input is based on a rolling sum of addends, and each addend is based on a sampled output of the RF energy signal associated with a frequency bin. The rolling sum of addends is determined over a number of frequency bins associated with a target frequency.