Wearable EMG-IMU Monitoring for Real-Time Muscular Load Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional methods for monitoring musculoskeletal loading lack portability, real-time feedback, and comprehensive data analysis capabilities, particularly in rehabilitation and training applications.
Innovation Solution
A wearable device integrating inertial measurement units (IMU) and surface electromyography (EMG) sensors, allowing flexible placement of IMU and EMG sensors at their optimal locations, with AI-based analysis to provide real-time musculoskeletal loading metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods for monitoring musculoskeletal loading are used, then measurement capabilities are limited, but portability and real-time feedback are lost
Solution Approach 1:
The system divides the monitoring function into separate wearable sensor components (EMG sensors, IMU sensors) that can be independently placed on different body parts, enabling portable real-time monitoring while maintaining measurement precision through distributed sensing nodes
Solution Approach 2:
The patent replaces traditional mechanical loading measurement devices with electronic sensor systems (electromyography sensors and inertial measurement units) that convert mechanical and physiological signals into electrical signals for digital processing, achieving both portability and precision
2Loss of information
If traditional monitoring methods are used, then data analysis capabilities are insufficient, but system complexity increases
Solution Approach 1:
The system implements real-time feedback loops where sensor data is continuously processed by AI algorithms and returned as actionable insights, enabling comprehensive data analysis through a structured feedback mechanism that manages complexity through iterative optimization
Solution Approach 2:
The patent employs AI-based parameter optimization that dynamically adjusts analysis parameters and thresholds based on incoming data patterns, transforming complex raw sensor data into simplified performance metrics and rehabilitation guidance through adaptive parameter transformation
3Measurement precision
If EMG and IMU sensors are placed at optimal locations, then measurement accuracy improves, but device placement complexity increases
Solution Approach 1:
The system incorporates preliminary guidance features that provide users with pre-planned sensor placement instructions and anatomical landmarks before actual sensor application, ensuring optimal placement accuracy while reducing the complexity of the placement process through advance preparation
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 continuous, real-time monitoring and feedback for optimizing rehabilitation and training programs, providing comprehensive musculoskeletal loading data and actionable insights.
Implementation Method 1
a first sensor configured to determine a muscle electrical activity level from a muscle of the person
Implementation Method 2
a second sensor configured to determine a motion and orientation change data of the body segment
Data Source
AI summary
Systems, methods, apparatuses, and computer program products for musculoskeletal bio-signal and pose monitoring, and muscular load detection and analysis. A method may include attaching a first sensor on a muscle belly of a person. The method may also include attaching a second sensor to a body segment of a person. The method may further include transmitting a muscle electrical activity level and motion and orientation change data to a server. The server may be configured to generate performance metrics based on the muscle electrical activity level and the motion and orientation change data