Surgical Cutter Debris Detection and Control
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Solution Overview
Problem
Computer-assisted and robotic surgical cutting systems face performance issues due to surgical debris, which obstructs the view and poses infection risks, and current methods lack data on debris quantity and impact on cutting performance.
Innovation Solution
A system with a debris detection system mounted on the surgical cutter, using a light source and receiver to determine debris presence and amount, and a controller to adjust irrigation, feed rate, direction, and spindle speed based on detected debris, along with audio and force sensors to further assess and manage debris.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If surgical cutting is performed using computer-assisted and robotic systems, then cutting precision and automation are improved, but surgical debris accumulates and obstructs the view and affects cutting performance
Solution Approach 1:
The patent implements a feedback mechanism by using sensors (optical, acoustic, force) to detect surgical debris and feed this information back to the control system, which then automatically adjusts cutting parameters or triggers irrigation to maintain cutting performance and visibility
Solution Approach 2:
The surgical system performs self-service by automatically detecting and managing its own debris through integrated sensors and control systems that adjust irrigation and cutting parameters without requiring external intervention, maintaining optimal cutting conditions throughout the procedure
2Ease of operation
If traditional irrigation and suction methods are used to clear debris, then debris removal is achieved, but no data is collected on debris amount or impact on cutting performance
Solution Approach 1:
The system uses sensors to continuously monitor and collect data on surgical debris characteristics, providing feedback information about debris quantity, composition, and impact on cutting performance that can be used to optimize surgical parameters and predict complications
Solution Approach 2:
The patent replaces traditional mechanical debris removal with sensor-based detection systems (optical, acoustic, force sensors) that provide quantitative data on debris without requiring constant manual intervention, transforming qualitative visual assessment into quantitative measurable parameters
3Difficulty of detecting and measuring
If light source and receiver are used to detect surgical debris, then debris detection capability is improved, but system complexity increases
Solution Approach 1:
The patent employs multi-functional sensors that can detect multiple types of debris characteristics simultaneously (optical properties, acoustic signatures, force changes) using a single integrated detection system, reducing overall system complexity while improving detection capability
Solution Approach 2:
The system uses light as an intermediary medium to detect surgical debris, where the light source and receiver act as mediators between the cutting tool and the debris, allowing indirect but accurate measurement of debris properties without direct contact or complex mechanical sensors
4Reliability
If real-time adjustment of cutting parameters is implemented based on debris detection, then cutting performance is maintained, but control system complexity increases
Solution Approach 1:
The control system uses real-time feedback from sensors to automatically adjust cutting parameters such as feed rate, depth, and irrigation flow, maintaining consistent cutting performance and preventing debris accumulation without requiring complex manual control algorithms
Solution Approach 2:
The cutting system performs self-adjustment by automatically modifying its own operating parameters based on real-time debris detection, maintaining optimal cutting conditions through self-regulation without external intervention or complex control algorithms
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
Improves surgical cutting performance by effectively detecting and managing surgical debris, enhancing precision and safety by adjusting operational parameters in real-time.
Implementation Method 1
a light source for emitting light; a receiver for receiving light emitted from the light source; and a microprocessor for determining a change in a characteristic of the light emitted by the light source and received by the receiver
Implementation Method 2
a light source for emitting light; a receiver for receiving light emitted from the light source; and a microprocessor for determining a change in a characteristic of the light emitted by the light source and received by the receiver
Data Source
AI summary
A system for improved surgical cutting in the presence of surgical debris, the system comprising: a surgical cutter comprising a distal end and a proximal end, the distal end of the surgical cutter being configured to cut bone; a debris detection system mounted to the surgical cutter, the debris detection system comprising: a light source for emitting light; a receiver for receiving light emitted from the light source; and a microprocessor for determining a change in a characteristic of the light emitted by the light source and received by the receiver, and for determining the presence and/or amount of surgical debris present at a surgical site using a change in a characteristic of the light emitted by the light source and received by the receiver; and a controller for varying, based on the presence and/or amount of surgical debris present at the surgical site, at least one of (i) an amount of irrigation supplied to the surgical site, (ii) the feed rate of the surgical cutter, (iii) the direction of the surgical cutter, and (iv) the spindle speed of the surgical cutter.