Tissue Treatment Device Real-Time Deployment Detection
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Solution Overview
Problem
Current tissue treatment devices with multiple delivery members are limited by changes in spacing or resistance between members, leading to system disruption and failure, as they cannot detect mis-deployment or adjust treatment parameters in real-time, resulting in ineffective treatments.
Innovation Solution
A treatment selection device with a processing circuit that transmits test signals through deployed members to determine compensable deployment status and suggests parameter changes, ensuring real-time adjustments without withdrawing the members, thus maintaining treatment efficacy and preventing system shutdown.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If treatment delivery members are deployed into tissue to deliver therapeutic energy, then treatment effectiveness is improved, but spacing or resistance changes between members can cause system disruption and failure
Solution Approach 1:
The system transmits test signals through deployed treatment delivery members to detect deployment status and environmental conditions in real-time. Based on the feedback from these test signals, the system automatically adjusts treatment parameters or triggers alerts for improper deployment, ensuring reliable treatment delivery without requiring manual verification of each member's position
Solution Approach 2:
The treatment delivery members are designed to self-verify their deployment status by responding to test signals. The system automatically detects spacing and resistance changes between members and adjusts parameters without external intervention, allowing the system to maintain reliability through autonomous monitoring and correction
2Object-affected harmful factors
If the system detects improper deployment or environmental changes, then treatment safety is improved, but system complexity increases due to additional detection and communication mechanisms
Solution Approach 1:
The treatment delivery members serve multiple functions: they deliver therapeutic energy and simultaneously act as sensors for detecting deployment status and environmental conditions. The communication circuitry between the generator and treatment apparatus handles both control signals and diagnostic data, reducing the need for separate dedicated detection systems and minimizing overall system complexity
3Productivity
If real-time adjustments are made to treatment parameters, then treatment effectiveness is maintained, but processing requirements and system complexity increase
Solution Approach 1:
The system performs preliminary testing by transmitting test signals through treatment delivery members before initiating full therapeutic energy delivery. This preliminary action verifies proper deployment and establishes baseline parameters, allowing the system to proceed with treatment confidently and make adjustments only when necessary, thereby maintaining efficiency without requiring continuous complex processing during the actual treatment phase
Data Source
AI summary
A tissue treatment selection device that has at least one treatment delivery member, a delivery setting circuit that is coupled to the treatment delivery member that is adapted to be deployed into tissue to deliver therapeutic energy to a target tissue zone, and the processing circuit is operable to set treatment parameters in the delivery setting circuit that is operable to set treatment parameters in the delivery setting circuit. The processing circuit is operable to transmit a test signal through the deployed treatment delivery member and to determine deployment status. The treatment selection device has a processing circuit adapted to send a message to a display device that indicates that the deployed treatment delivery member has been determined to be compensable and contains a suggested change in the treatment parameters. Also presented herein is a method of treating a tissue of a patient using the treatment delivery device.