Hip Arthroplasty Impaction Monitoring System
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Solution Overview
Problem
Minimally invasive surgical techniques in hip arthroplasty reduce the surgeon's ability to visualize the femoral component seating, leading to increased risk of periprosthetic fractures due to diminished tactile and auditory feedback, resulting in potential implant instability and failure.
Innovation Solution
A system using piezoelectric transducers and accelerometers to monitor impaction data during the seating of the femoral component, normalizing the data to calculate an impaction monitoring metric that indicates when the component is fully seated, providing feedback to the surgeon through a user interface to prevent over-seating and fractures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If minimally invasive surgical techniques are used, then hospital stay and recovery time are reduced, but the surgeon's ability to visualize and sense femoral component seating is diminished
Solution Approach 1:
The patent replaces the surgeon's mechanical tactile and auditory sensing with electronic sensors (accelerometers, piezoelectric transducers) that convert mechanical vibrations and forces during impaction into electrical signals for digital analysis and visual feedback
Solution Approach 2:
The patent introduces an intermediary monitoring system that includes sensors, data processing equipment, and visual display devices to bridge the gap between the impaction process and the surgeon's decision-making, providing objective feedback on component seating
2Length of moving object
If minimally invasive techniques are used, then incision size is reduced, but tactile and auditory feedback for determining optimal interference fit is diminished
Solution Approach 1:
The patent substitutes the surgeon's direct tactile and auditory sensing with electronic sensors that capture vibration and force data during impaction, converting these mechanical signals into processable electrical data for objective analysis
Solution Approach 2:
The patent implements a feedback system where sensor data from the impaction process is processed and displayed in real-time, allowing the surgeon to adjust impaction based on objective visual feedback about component seating and interference fit
3Reliability
If the femoral component is impacted past the point of maximal interference fit, then implant stability is compromised, but visual and sensory detection of this point is reduced
Solution Approach 1:
The patent replaces the surgeon's sensory detection of maximal interference fit with electronic sensors that objectively measure vibration characteristics and force transmission during impaction, providing precise detection of the optimal seating point
Solution Approach 2:
The patent introduces an intermediary monitoring system that processes sensor data to identify the point of maximal interference fit, serving as a bridge between the mechanical impaction process and the surgeon's decision-making to prevent over-impaction
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
The system effectively supplements the surgeon's sensory limitations by accurately determining the maximal interference fit and stability of the femoral component, reducing the risk of intraoperative fractures and enhancing prosthetic stability during minimally invasive hip arthroplasty procedures.
Implementation Method 1
at least one measurement transducer, such as a piezoelectric transducer (PZT) and/or an accelerometer
Implementation Method 2
impaction data, such as vibration data, generated during impaction of the femoral component
Data Source
AI summary
A method and system for monitoring impaction of a femoral component of a hip prosthesis into a femur in which impaction data generated during the impaction of the femoral component into the femur is received from at least one measurement transducer attached to the femoral component and is normalized by a data acquisition and analysis device. An impaction monitoring metric is calculated based on the normalized impaction data, and femoral component fit and stability data is then generated and output to a user interface based on the impaction monitoring metric.


