Robotic Bone Cutting Safety Mechanism with Real-Time Tissue Feedback
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Solution Overview
Problem
In robotic orthopedic surgery, there is a challenge in preventing damage to surrounding tissues due to unexpected shifts during bone cutting or drilling, as the system relies on preoperative images that may not account for intraoperative tissue movements, leading to potential errors in tool trajectory and increased risk of collateral damage.
Innovation Solution
The implementation of sensors to provide feedback on tissue properties, using data from sound, power, motor vibrations, mechanical force, and electrical impedance to determine the actual tissue being traversed, with artificial intelligence analyzing these parameters to alert the system of deviations from the planned trajectory and prevent unintended entry into sensitive areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If preoperative images are used to plan surgical trajectory, then surgical precision is improved, but reliability deteriorates due to unexpected intraoperative tissue shifts
Solution Approach 1:
The patent implements real-time feedback mechanisms using sensors (force sensors, acoustic sensors, impedance sensors) that continuously monitor tissue properties during bone cutting. The system compares actual sensor readings against expected values from preoperative planning, detecting deviations caused by tissue shifts and automatically adjusting the surgical trajectory to maintain precision and avoid damage to surrounding structures
Solution Approach 2:
The system performs preliminary registration of anatomical landmarks and creates a detailed preoperative surgical plan with expected tissue properties along the trajectory. This preliminary action establishes a baseline for comparison during surgery, allowing the system to detect and compensate for unexpected tissue movements in real-time
2Productivity
If large forces are used for bone cutting, then productivity is improved, but object-affected harmful factors worsen due to soft tissue compression and shifting
Solution Approach 1:
The patent employs dynamic control of cutting forces by continuously monitoring real-time sensor feedback during bone cutting. The system automatically adjusts the magnitude and direction of cutting forces based on detected tissue properties and trajectory deviations, enabling efficient bone cutting while preventing excessive compression or displacement of adjacent soft tissues
Solution Approach 2:
Real-time feedback from force sensors and acoustic sensors allows the system to detect tissue compliance and adjust cutting parameters dynamically. When soft tissue compression or shifting is detected, the system reduces cutting forces or modifies the trajectory to prevent damage, maintaining both productivity and safety
3Reliability
If multiple safety layers are implemented, then reliability is improved, but device complexity worsens
Solution Approach 1:
The patent integrates multiple safety functions into a unified robotic control system. Sensors for force monitoring, acoustic emission detection, and electrical impedance measurement are merged with the robotic positioning system and preoperative planning software, creating a cohesive safety architecture that reduces operational complexity while maintaining multiple layers of protection against tissue damage
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 solution enhances safety by reducing the likelihood of errors, allowing for more precise control of surgical tools and preventing damage to surrounding tissues, even in cases of anatomical shifts, by providing real-time feedback and adjusting the tool's trajectory accordingly.
Implementation Method 1
using at least one sensor to detect a change in at least one quantifiable parameter as the bone-machining tool is moved by the robotic control, the at least one quantifiable parameter changing when the bone-machining tool is moved through bone as compared to a soft tissue adjacent to the bone
Implementation Method 2
the at least one quantifiable parameter changing when the bone-machining tool is moved through bone as compared to a soft tissue adjacent to the bone
Implementation Method 3
using data from sound, power, motor vibrations, mechanical force, and electrical impedance to determine the actual tissue being traversed
Data Source
AI summary
Methods and systems for providing a safety mechanism for a robotically controlled surgical tool. Embodiments of the methods use sensors to detect parameters that vary by the tissue traversed by a surgical tool. The sensors detect signals arising from the interaction of the surgical tool with the tissue and provide this information to a robotic controller. For example, during drilling, the sensors may measure power, vibration, sound frequency, mechanical load, electrical impedance, and distance traversed according to preoperative measurements on a three-dimensional image set used for planning the tool trajectory. By comparing the detected output with that expected for the tool position based on the planned trajectory, identified discrepancies in output would indicate that the tool has veered from the planned trajectory. The robotic controller may then alter the tool trajectory, change the speed of the tool, or discontinue power to the tool, thereby preventing damage to underlying tissue.