Sensor-Based Joint Misalignment Detection in Remote Treatment
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Solution Overview
Problem
Remote medical assistance faces challenges in monitoring patient progress and modifying treatment plans effectively, especially in rehabilitative settings, due to geographical separation between healthcare professionals and patients, and in identifying alignment issues during telemedicine sessions.
Innovation Solution
A system and method that utilize a treatment device connected to a processing device to receive and analyze treatment data, user-related data, and alignment data, allowing for real-time identification of alignment characteristics and modification of treatment plans based on input from healthcare professionals, using artificial intelligence and machine learning to optimize treatment protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If remote medical assistance is provided via telemedicine, then geographical separation between healthcare professionals and patients is overcome, but monitoring patient progress and identifying alignment issues becomes less accurate
Solution Approach 1:
The patent introduces sensors as intermediary devices that capture alignment data during treatment device operation. These sensors serve as mediators between the patient's physical movements and the remote healthcare professional's monitoring capabilities, enabling accurate alignment detection despite geographical separation.
Solution Approach 2:
The patent replaces direct mechanical observation and manual assessment with automated sensor-based detection systems. Sensors integrated with or attached to the treatment device automatically capture alignment data, substituting the need for physical presence and manual measurement by healthcare professionals.
2Reliability
If treatment plans are modified based on real-time data analysis, then treatment effectiveness is improved, but system complexity increases
Solution Approach 1:
The patent implements a feedback loop where sensor data from treatment device operation is continuously analyzed and used to generate treatment plan modifications. The system processes alignment data and treatment measurements, then provides feedback to healthcare professionals who adjust treatment parameters based on this analyzed information.
Solution Approach 2:
The system performs automated data collection, processing, and initial analysis without requiring constant healthcare professional intervention. The automated analysis of treatment data and generation of modification recommendations enables the system to serve itself in monitoring and suggesting treatment adjustments.
3Object-affected harmful factors
If alignment data is collected continuously during treatment, then patient safety is improved, but data processing requirements and system complexity increase
Solution Approach 1:
The patent performs preliminary alignment assessment before treatment begins and during treatment intervals. By conducting alignment checks in advance and at scheduled points rather than requiring continuous monitoring, the system maintains patient safety while reducing the complexity of continuous data processing.
Data Source
AI summary
A method that includes receiving treatment data associated with a user capable of using a treatment device to perform a treatment plan. The method also includes receiving user related data (URD) associated with the use and receiving alignment data associated with the user while the user engages in at least one activity. The method also includes identifying, based on at least the treatment data, the URD, and the alignment data, at least one alignment characteristic associated with the user and modifying at least one aspect of the treatment plan in response to receiving, from a healthcare professional, treatment plan input including at least one modification to the at least one aspect of the treatment plan.