Robotic Surgical Cutting With Bone Motion and Force Feedback
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Solution Overview
Problem
Current robotic surgical systems for total joint replacement lack real-time feedback on bone motion and cutting forces, leading to prolonged operating times and potential misalignment issues during robotic cutting.
Innovation Solution
A system and method providing real-time bone motion and cutting force feedback to surgeons, including force and motion data acquisition, display, and pause mechanisms to adjust cutting parameters or bone position when thresholds are exceeded.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If real-time feedback mechanisms (force sensors, motion monitoring) are implemented during robotic cutting, then cutting precision and surgical outcomes are improved, but device complexity and operating time are increased
Solution Approach 1:
The system implements real-time feedback by monitoring cutting forces with force sensors and bone motion with motion monitoring systems. When abnormal forces or motions are detected, the system provides immediate feedback to the surgeon through visual or haptic interfaces, enabling real-time adjustments to maintain cutting precision while managing complexity through automated monitoring.
Solution Approach 2:
The patent replaces manual mechanical monitoring with automated sensor-based systems. Force sensors substitute for manual force assessment, and motion tracking systems substitute for visual inspection, reducing the complexity burden on the surgeon while maintaining high cutting precision through continuous automated measurement.
2Reliability
If the robot arm is frozen (stopped) to assess and fix situations when thresholds are exceeded, then patient safety is ensured, but operating time increases
Solution Approach 1:
The system performs preliminary actions by pre-setting force and motion thresholds before surgery begins. When these pre-defined thresholds are exceeded during cutting, the robot arm is automatically frozen, eliminating the need for manual assessment and reducing the time loss associated with safety checks while maintaining patient safety through automated protective measures.
Solution Approach 2:
The monitoring system provides self-service safety monitoring by automatically detecting threshold violations and freezing the robot arm without requiring continuous surgeon intervention. This automated self-monitoring ensures patient safety while minimizing operating time by eliminating manual assessment steps.
3Manufacturing precision
If cutting parameters or bone position are adjusted to mitigate problematic conditions, then cutting precision is maintained, but operating time increases due to repeated pauses
Solution Approach 1:
The system uses real-time feedback from force sensors and motion monitors to detect problematic conditions such as excessive forces or unexpected bone motion. By providing immediate feedback to the surgeon, the system enables timely adjustments to cutting parameters or bone position that maintain cutting precision while minimizing the duration of pauses through rapid detection and response.
Data Source
AI summary
A method for improved robotic cutting, the method comprising: determining at least one of cutting force data and bone motion data during robotic cutting; determining when at least one of the cutting force data and bone motion data exceeds a predetermined parameter; and when it is determined that at least one of the cutting force data and the bone motion data exceeds the predetermined parameter, providing the user with an indication of the same and pausing the robotic cutting so as to enable the user to mitigate the cause of at least one of the cutting force data and the bone motion data exceeding the predetermined parameter.