Implantable Sensor Data Processing for Dynamic Orthopedic Recovery
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Solution Overview
Problem
Current orthopedic patient care techniques lack effective monitoring and assessment of range of motion and pain management before and after surgical intervention, leading to inadequate postoperative recovery planning and potential complications.
Innovation Solution
The implementation of implantable sensors with embedded data processing systems that use machine learning models to provide real-time feedback and predictive analytics for pain management, physical therapy, and range of motion, allowing for personalized recovery plans and timely interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current orthopedic patient care techniques are used, then treatment can be provided, but monitoring and assessment of range of motion and pain management is inadequate
Solution Approach 1:
Sensors are implanted in the orthopedic implant before patient use to pre-establish monitoring capabilities. The system proactively collects baseline data and continuously monitors range of motion and pain metrics before clinical issues arise, enabling early detection and intervention.
Solution Approach 2:
The patent replaces manual clinical assessments and mechanical measurement tools with electronic sensors and digital data processing systems. Accelerometers, gyroscopes, and other electronic sensors embedded in the implant automatically track range of motion, replacing traditional goniometers and manual evaluation methods.
2Reliability
If traditional postoperative care is provided, then basic treatment can be delivered, but timely intervention opportunities are missed
Solution Approach 1:
The system implements continuous feedback loops where sensors monitor patient metrics in real-time, process the data through algorithms, and provide immediate feedback to both patients and providers. This enables timely intervention when abnormal patterns are detected, such as unusual movement patterns or pain indicators suggesting complications.
Solution Approach 2:
The monitoring system operates continuously throughout the postoperative period, maintaining constant surveillance of patient recovery metrics. This uninterrupted data collection ensures that no critical events are missed and provides a complete picture of recovery progression over time.
3Adaptability or versatility
If generic recovery protocols are used, then standard care can be provided, but personalized recovery optimization is lost
Solution Approach 1:
The recovery protocol dynamically adapts based on real-time sensor data. The system adjusts physical therapy recommendations, activity restrictions, and recovery milestones according to the patient's actual progress, transforming static protocols into dynamic, responsive care plans that evolve with patient needs.
Solution Approach 2:
The system changes key recovery parameters such as range of motion thresholds, activity intensity limits, and therapy frequency based on measured patient performance and recovery metrics. These parameter adjustments are automatically calculated from sensor data to optimize recovery while preventing complications.
Data Source
AI summary
Systems and techniques may be used to determine what device to use to process data in an implanted sensor data processing system. An example technique may include determining, based on patient-specific information, whether to use a local machine learning model operable at a mobile device, or a remote machine learning model operable at a remote device to output a prediction generated using sensor data. The example technique may include, in accordance with a determination that the local machine learning model is to be used, predicting, at the mobile device, an outcome for the patient using the local machine learning model. The example technique may include, in accordance with a determination that the remote machine learning model is to be used, sending, from the mobile device, the compiled data to a remote computing device to generate a predicted outcome.