Wireless RF TUG Detection System for Privacy-Safe Clinical Monitoring
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Solution Overview
Problem
Traditional methods for measuring timed-up-and-go (TUG) times in clinical settings are resource-intensive, prone to human error, and raise privacy concerns due to the need for observers, limiting data collection and accuracy.
Innovation Solution
A wireless motion tracking system using RF signals to detect and measure TUG times without cameras, processing reflected signals to estimate lying-down areas, determine candidate trajectories, and calculate TUG times automatically, ensuring privacy and reducing human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional human observer methods are used to measure TUG times, then the measurement process is simple to implement, but the data collection is limited, prone to human error, and resource-intensive
Solution Approach 1:
The patent replaces the mechanical/manual measurement system (human observers using stopwatches) with an automated electromagnetic field-based detection system. The system uses RF signals to detect subject movement and automatically calculates TUG times, eliminating human error and bias while maintaining measurement accuracy.
Solution Approach 2:
The system enables self-measurement by automatically detecting and recording TUG times without requiring human observers. The wireless detection system autonomously monitors subject movement, tracks trajectories, and computes measurement results, allowing the subject to be measured in their natural environment without external intervention.
2Extent of automation
If camera-based optical imaging methods are used to detect TUG, then automated measurement is achieved, but privacy concerns arise due to capturing images of subject activity
Solution Approach 1:
The patent substitutes optical imaging (cameras) with electromagnetic field detection using RF signals. This replacement maintains automated measurement capability while eliminating the privacy intrusion associated with visual capture. The system detects movement through electromagnetic signal reflections without capturing images or visually observing the subject.
Solution Approach 2:
The system uses reflected electromagnetic signals as an intermediary to detect subject movement indirectly, rather than directly observing the subject through cameras. This intermediary approach allows automated measurement while preserving subject privacy, as only the movement轨迹 is detected through signal reflections, not visual images.
3Productivity
If human observers conduct TUG measurements in clinical settings, then the measurement process is straightforward, but the data collection effort is limited and time-consuming
Solution Approach 1:
The wireless detection system enables continuous, uninterrupted monitoring of TUG measurements without requiring breaks for observer rest, subject transport, or data entry. The system operates continuously in the subject's environment, automatically recording multiple measurements without the time losses associated with manual measurement protocols.
Solution Approach 2:
The system performs self-measurement and self-recording functions, eliminating the need for human observers to time, record, and analyze data. The automated detection and calculation of TUG times significantly reduces the time required for data collection and increases productivity by removing human labor constraints.
4Quantity of substance
If multiple TUG measurements are collected through repeated clinical visits, then a larger data set is obtained, but the subject burden and resource requirements increase
Solution Approach 1:
The system enables continuous data collection over extended periods without requiring repeated subject transport to clinical facilities. The wireless detection system remains in the subject's environment, continuously capturing TUG measurements across multiple days and conditions, accumulating large data sets without increasing subject burden or requiring additional clinical resources.
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 provides accurate, efficient, and extensive data collection for TUG times, reducing human error and privacy concerns, enabling long-term monitoring and improved health assessments.
Implementation Method 1
receiving reflected wireless signals at one or more receiving antennas, the reflected wireless signals being reflected from the subject partially or fully
Data Source
AI summary
A method for wireless detection of a subject rising from a rest state includes producing transmitted wireless signals from one or more transmitting antennas, receiving reflected wireless signals at one or more receiving antennas, and processing the reflected wireless signals in a computer. The computer iteratively aligns candidate trajectories with a template trajectory until the current and previous template trajectories are within a predetermined distance from each other. A final template trajectory is used to determine a lying-down surface exit initiation area, a lying-down surface exit initiation area exit time, a TUG plane or radius entry time, and a TUG time.