Wearable Acoustic Sensor for Knee Joint Integrity Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for diagnosing and analyzing knee joint disorders, such as osteoarthritis, are invasive, unreliable, and often detect issues only in advanced stages, failing to provide accurate, real-time data on joint function and mobility, and are hindered by the use of radiation and subjective diagnostic tests.
Innovation Solution
A smart wearable device with an elastic sensor frame and acoustic sensors that capture airborne emissions from the knee joint, combined with kinematic sensors, allowing for non-invasive data collection and analysis of joint integrity, providing robust and consistent measurements while minimizing parasitic acoustic waves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional diagnostic imaging modalities (X-ray, MRI) are used to evaluate knee joint, then detailed structural information can be obtained, but the method is invasive, requires radiation, trained personnel, and established infrastructures
Solution Approach 1:
The patent replaces complex medical imaging infrastructure (X-ray, MRI machines requiring radiation and specialized facilities) with a portable acoustic sensor system that uses sound wave detection. The acoustic sensor device captures joint sounds directly, eliminating the need for radiation-based imaging while providing functional joint assessment through acoustic emissions analysis.
Solution Approach 2:
The patent introduces acoustic waves as an intermediary medium to detect joint conditions. Instead of directly imaging joint structures with X-rays or magnetic fields, the system uses acoustic emissions (sounds generated by joint movement) as a mediator to indirectly assess joint health, cartilage condition, and potential pathologies.
2Measurement precision
If radiographic imaging is used to evaluate knee joint, then structural changes can be detected, but it provides only a static picture that does not represent actual joint function and motion
Solution Approach 1:
The patent transitions from static imaging to dynamic assessment by capturing acoustic emissions during actual joint movement. The system records sounds generated throughout the range of motion, enabling evaluation of joint function in real-time rather than providing only a frozen structural snapshot. This dynamic approach reveals functional abnormalities that may not be visible in static images.
Solution Approach 2:
The patent replaces static radiographic imaging with dynamic acoustic monitoring. Instead of capturing structural morphology at a single moment, the system continuously records acoustic emissions during movement, substituting structural visualization with functional sound analysis that reflects actual joint behavior.
3Ease of operation
If physical examination tests (McMurray test, Thessaly test) are used to diagnose knee disorders, then diagnosis can be performed without imaging, but the tests are highly subjective with moderate accuracy
Solution Approach 1:
The patent enables the joint itself to provide diagnostic information through its own acoustic emissions. Instead of relying on the examiner's subjective interpretation of patient responses to manual tests, the joint's natural sounds during movement serve as self-diagnostic data, objectively revealing cartilage friction, ligament integrity, and abnormal joint mechanics.
Solution Approach 2:
The patent introduces objective acoustic feedback to supplement or replace subjective physical examination feedback. The acoustic sensor captures real-time sound emissions from joint movement, providing quantifiable data that feeds back to confirm or refute hypotheses generated during physical examination, thereby reducing subjectivity and improving diagnostic accuracy.
4Measurement precision
If acoustic sensors are placed in direct contact with skin to capture joint sounds, then signal strength may be improved, but parasitic acoustic waves are generated and placement reliability and consistency deteriorate
Solution Approach 1:
The patent introduces air as an intermediary medium between the acoustic sensor and the joint. Instead of direct skin contact, the sensor captures acoustic emissions transmitted through air in the cavity, eliminating parasitic waves generated by skin contact while maintaining sufficient signal strength for accurate detection.
Solution Approach 2:
The patent employs a flexible membrane or thin film structure to separate the acoustic sensor from direct skin contact while allowing acoustic transmission. This flexible barrier eliminates parasitic acoustic waves from skin contact and improves placement reliability, while still permitting joint sounds to reach the sensor through the thin film medium.
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
Enables early-stage detection and analysis of knee joint disorders, facilitating personalized treatment plans and reducing the need for invasive procedures, while offering a cost-effective and efficient means to monitor joint health over time.
Implementation Method 1
an acoustic sensor device (13) arranged in the cavity (21) and configured to capture airborne acoustic emissions from the area of interest
Data Source
AI summary
A smart wearable (SW) for collecting data on an integrity of a joint of a wearer, the wearable including a first frame (1) configured to be attached in proximity of the joint of the wearer, the frame (1) including an elastic sensor frame (3) having an open cavity (21) configured to be attached to an area of interest of the joint, a kinematic sensor device (19) configured to measure kinematics of the joint, and acoustic sensor device (13) arranged in the cavity (21) configured to capture airborne acoustic emissions from the area of interest, and a data processor device (18) configured to receive and record data from the kinematic sensor device (19) and from the acoustic sensor device (13).