Frailty Score Determination Using EMG and Motion Sensors
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Solution Overview
Problem
Current frailty assessment methods are inadequate for intensive care units and surgical settings, as they are subjective and do not accurately measure functional abilities, particularly for mechanically ventilated or acutely unwell patients, and lack objective measures of quadriceps muscle strength, which is crucial for preoperative and postoperative care.
Innovation Solution
A method and device that objectively determine frailty scores by processing EMG and motion data from sensors, including quadriceps muscle strength, range of motion, and asymmetry indices, to provide quantitative feedback on rehabilitation progress and functional performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subjective clinical assessment tools (questionnaires, mobility tests) are used for frailty assessment, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent replaces subjective clinical assessment tools with an objective automated system that uses sensors to detect muscle strength, range of motion, and movement velocity. This substitution eliminates human subjectivity while maintaining ease of operation through automated data collection and analysis, directly resolving the contradiction between ease of operation and measurement precision.
Solution Approach 2:
The patent introduces sensors and processing systems as intermediaries between the patient's physical performance and the frailty assessment. These intermediaries objectively measure parameters like muscle strength and movement velocity, providing precise quantitative data that mediates between the simple operational requirement and the need for accurate measurement.
2Measurement precision
If performance-based measures (timed-up-and-go tests) are used for frailty assessment, then measurement precision is improved, but adaptability deteriorates
Solution Approach 1:
The patent creates a universal assessment system that can measure multiple parameters (muscle strength, range of motion, movement velocity) across different patient populations. The system adapts to various conditions including mechanically ventilated patients and those undergoing knee or hip surgery, eliminating the need for different test protocols while maintaining measurement precision.
Solution Approach 2:
The patent measures multiple physiological parameters simultaneously (EMG signals, range of motion, movement velocity) rather than relying on a single performance metric. This multi-parameter approach allows the system to adapt to different patient conditions and surgical types while maintaining objective and precise frailty assessment.
3Measurement precision
If automated sensor-based measurement systems are implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent implements a self-service system where sensors automatically collect data and the processing system autonomously analyzes EMG signals and movement parameters to generate frailty scores. This automation eliminates the need for complex manual assessment procedures and reduces operational complexity despite the advanced sensing technology employed.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors sensor data and adjusts measurements in real-time to optimize accuracy. The automated feedback loop processes raw sensor signals through algorithms that calculate muscle strength, range of motion, and velocity, providing precise measurements without requiring complex manual intervention.
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
This approach enables reliable and objective frailty assessment, enhancing clinical decision-making and rehabilitation strategies by providing accurate, real-time data on muscle strength and functional abilities, improving patient outcomes and recovery processes.
Implementation Method 1
EMG measurements are very important to measure muscle strength. Quadriceps muscle strength is very important for lower limb control
Implementation Method 2
measuring muscle strength, is critical. Muscle strength is essential for all physical activities
Data Source
AI summary
According to a first aspect of the present invention, there is provided a method for objectively determining a frailty score for a subject, the method comprising: deriving an attribute from sensor data including at least one of EMG data and motion data of the subject and obtained from at least one limb of the subject; quantitatively processing the attribute to determine how the subject is responding to the rehabilitation or exercises program; and objectively determining the frailty score based on the quantitative processing.