Variable Speed Osteotomy Saw Signal Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
During osteotomy operations, the varying mechanical properties of different tissues, such as muscle and bone, cause fluctuations in contact force between the bone saw and tissues, making it difficult to control the speed of osteotomy efficiently and safely.
Innovation Solution
A method and apparatus for variable speed osteotomy that processes the power representation signal of a bone saw to distinguish between different tissues by decomposing it into high and low frequency components, denoising the high frequency component, and adjusting the osteotomy speed based on the denoised signal to maintain optimal contact force.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the bone saw operates at a constant speed during osteotomy, then the operation is simple to control, but the varying tissue properties cause uncontrolled contact force variations leading to safety issues
Solution Approach 1:
The bone saw speed is changed from constant to variable, dynamically adjusting according to real-time tissue detection. The system transitions from a fixed-speed motor to a controllable motor that can modify rotational speed based on power signal analysis, allowing adaptation to different tissue densities and hardness levels during osteotomy.
Solution Approach 2:
A feedback loop is established where the power representation signal from the bone saw motor is continuously monitored, processed through wavelet decomposition and denoising, and used to detect tissue type. This feedback information is then fed back to the motor controller to adjust the bone saw speed appropriately for the current tissue being cut.
2Reliability
If the bone saw speed is adjusted frequently to adapt to different tissues, then the osteotomy safety is improved, but the control complexity and operation difficulty increase
Solution Approach 1:
The system performs self-service by automatically detecting tissue type through power signal analysis and autonomously adjusting the bone saw speed without requiring manual intervention. The motor controller receives processed feedback signals and automatically modifies operational parameters, freeing the operator from complex manual speed adjustments.
Solution Approach 2:
Manual mechanical speed adjustment is replaced with an automated electronic control system. The motor transitions from manual or simple mechanical speed control to an electronically controlled system that uses signal processing and algorithms to automatically adjust speed based on real-time tissue detection, reducing operational complexity.
3Measurement precision
If the power representation signal is used directly for tissue detection, then the detection process is simple, but the noise in the signal leads to inaccurate tissue identification
Solution Approach 1:
The power representation signal is segmented into different frequency components through wavelet decomposition. The signal is divided into high-frequency components (containing noise) and low-frequency components (containing useful information), allowing selective processing and denoising of specific frequency ranges to improve detection accuracy.
Solution Approach 2:
The useful low-frequency information is extracted from the noisy power representation signal while removing the high-frequency noise components. Through wavelet decomposition and selective reconstruction, only the essential signal components are retained, achieving denoising and improving tissue detection accuracy.
4Productivity
If the bone saw feeds through different tissues at varying speeds, then the contact force is optimized for each tissue type, but the speed control becomes difficult to manage
Solution Approach 1:
The bone saw speed is transformed from a static parameter to a dynamic one that automatically adapts to different tissue types. The system uses real-time power signal monitoring and wavelet-based denoising to detect tissue transitions and dynamically adjusts motor speed to optimize cutting efficiency for each specific tissue being encountered during osteotomy.
Data Source
AI summary
A method (100) and apparatus (800) for variable speed osteotomy. The method (100) comprises: controlling a bone saw to perform an osteotomy operation at a first speed in a first tissue (110); acquiring a power representation signal of the bone saw in the osteotomy operation process (120); processing the power representation signal so as to acquire a high frequency component and a low frequency component of the power representation signal (130); on the basis of a predefined threshold, performing denoising on the high frequency component, so as to obtain a denoised high frequency component (140); reconstructing the denoised high frequency component and the low frequency component to obtain a denoised power representation signal (150); determining, on the basis of the denoised power representation signal, whether the bone saw enters, from the first tissue, a second tissue which has different properties from the first tissue (170); and when determined that the bone saw enters the second tissue from the first tissue, controlling the bone saw to perform an osteotomy operation at a second speed in the second tissue (180).