Closed-Loop Electrosurgical Generator with Real-Time Tissue Feedback
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Solution Overview
Problem
Current electrosurgical systems lack automatic adjustment of coagulation waveforms during procedures, requiring manual and cumbersome adjustments by surgeons, which can lead to inefficiencies and suboptimal tissue treatment.
Innovation Solution
An electrosurgical system with closed-loop monitoring and control, utilizing a microprocessor and RF sensors to dynamically adjust electrosurgical waveforms based on real-time tissue and energy property feedback, ensuring precise energy delivery for effective coagulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of coagulation waveform parameters is used, then the system structure remains simple, but the ease of operation deteriorates and productivity decreases
Solution Approach 1:
The system employs a closed-loop feedback mechanism where a sensor continuously monitors tissue properties during electrosurgical coagulation and transmits data to a microprocessor. The microprocessor automatically adjusts waveform parameters based on this feedback, eliminating manual adjustment needs and improving ease of operation while maintaining manageable device complexity through integrated control.
Solution Approach 2:
The electrosurgical system performs self-adjustment of coagulation waveform parameters through automated control. The microprocessor independently modifies waveform characteristics in response to sensor data without requiring surgeon intervention, allowing the system to serve itself and improving operational ease.
2Productivity
If manual adjustment of coagulation waveform is used, then the device complexity remains low, but the productivity deteriorates due to cumbersome adjustments
Solution Approach 1:
The closed-loop feedback system continuously monitors tissue properties and automatically adjusts waveform parameters in real-time, eliminating the need for manual adjustments during procedures. This automation significantly improves productivity by maintaining optimal coagulation parameters without interrupting surgical workflow, while the integrated control architecture keeps device complexity manageable.
Solution Approach 2:
The system replaces manual mechanical adjustment mechanisms with an automated electronic control system. The microprocessor-based controller substitutes for manual waveform parameter adjustment, improving productivity through continuous automatic optimization while the electronic implementation maintains reasonable device complexity.
3Manufacturing precision
If automatic closed-loop control is implemented, then the manufacturing precision improves through consistent waveform delivery, but the device complexity increases
Solution Approach 1:
The closed-loop feedback system ensures consistent and precise waveform delivery by continuously monitoring tissue properties and making real-time adjustments to maintain optimal coagulation parameters. This automatic control achieves high manufacturing precision in waveform delivery while the integrated sensor-microprocessor-controller architecture manages device complexity through consolidation.
Solution Approach 2:
The system achieves precise waveform control through self-adjustment capabilities. The microprocessor automatically modifies coagulation waveform parameters in response to sensor feedback, ensuring consistent and reproducible treatment outcomes without manual intervention, while the automated control system maintains manageable device complexity.
4Reliability
If real-time sensing and automatic adjustment is implemented, then the reliability improves through continuous monitoring, but the device complexity increases
Solution Approach 1:
The closed-loop feedback mechanism continuously monitors tissue properties during electrosurgical coagulation, ensuring reliable and consistent treatment outcomes. The real-time feedback control maintains optimal waveform parameters throughout the procedure, improving reliability while the integrated sensor and controller architecture manages device complexity through consolidation.
Solution Approach 2:
The system replaces manual monitoring and adjustment mechanisms with automated electronic sensing and control. The microprocessor-based system continuously analyzes sensor data and automatically adjusts waveform parameters, improving reliability through consistent real-time control while the electronic implementation keeps device complexity manageable.
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
Enables automatic and precise control of electrosurgical coagulation waveforms, improving the efficiency and consistency of tissue treatment by continuously adjusting energy delivery in response to tissue changes, thereby enhancing clinical hemostasis.
Implementation Method 1
The closed loop monitoring includes a sensor for sensing one or more tissue properties, such as voltage, current, temperature
Implementation Method 2
Electrosurgery involves application of high radio frequency electrical current to a surgical site to cut, ablate, or coagulate tissue
Data Source
AI summary
An electrosurgical system is disclosed comprising a generator configured to electrosurgical coagulation waveforms. The generator includes a closed loop control system for controlling the electrosurgical coagulation waveforms. The closed loop control system includes a sensor configured to sense a tissue property and/or an energy property and to transmit the tissue property and/or the energy property as one or more sensor signals having an amplitude. The control system also includes a gain controller configured to process the at least one sensor signal to reduce the amplitude of the sensor signals and to obtain a signal to noise ratio of the at sensor signals within a predetermine range. A microprocessor coupled to the generator and is configured to adjust the electrosurgical coagulation waveforms as a function of the sensor signals.