EMG Feedback Monitoring for Ultra-Low Muscle Biopotentials
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Solution Overview
Problem
Current rehabilitation devices lack the ability to assess and monitor muscle performance with self-adjusting feedback, particularly for individuals with limited mobility, where biopotentials generated by muscle or nerve fibers are not effectively identified, leading to inadequate quantitative monitoring and high dropout rates due to lack of perceived progress.
Innovation Solution
A system comprising surface electrodes, analog conditioning, signal processing, and feedback mechanisms that use a differential amplifier and microcontroller to adjust impedance, allowing for the acquisition, conditioning, processing, and display of biopotential signals, including those below 0.001V, and providing quantitative monitoring and graphical feedback on muscle activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional EMG devices with bandwidth 0.1 to 10 kHz are used, then standard muscle activity can be measured, but biopotentials below 0.001V from degenerated muscles cannot be effectively detected
Solution Approach 1:
The patent modifies the bandwidth parameter of the EMG device to extend the lower frequency limit below 0.1 Hz, enabling detection of ultra-low frequency biopotentials from degenerated muscles that conventional devices with 0.1-10 kHz bandwidth cannot detect
Solution Approach 2:
The system dynamically adjusts its measurement parameters and feedback mechanisms based on the patient's muscle condition, transitioning from standard EMG parameters for healthy muscles to specialized low-frequency parameters for degenerated muscles, thereby adapting to different muscle states
2Reliability
If rehabilitation therapies are provided without quantitative assessment, then treatment can be provided, but patient adherence drops due to lack of perceived progress
Solution Approach 1:
The patent implements a feedback mechanism that provides patients with quantitative data visualizing their muscle performance improvement over time, allowing them to perceive progress and maintain adherence to rehabilitation therapies
Solution Approach 2:
The system introduces an intermediary assessment device that translates complex electrophysiological measurements into simple, understandable visual feedback for patients, bridging the gap between complex medical data and patient comprehension
3Measurement precision
If mechanical variables such as range of motion are used for rehabilitation assessment, then joint mobility can be measured, but electrophysiological assessment of muscle performance remains limited
Solution Approach 1:
The patent replaces mechanical assessment methods (goniometers, motion capture) with electrophysiological measurement (EMG) to directly assess muscle performance, providing more precise information about muscle function rather than just joint movement
Solution Approach 2:
The system creates a digital representation or copy of the patient's muscle performance data through EMG measurements, storing and analyzing this information to track progress and provide feedback without requiring physical manipulation of the patient
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 thorough, non-invasive, and frequent monitoring of muscle performance, motivating patients and guiding physiotherapists with quantitative data, improving adherence to rehabilitation therapies and tracking progress effectively.
Implementation Method 1
use a differential amplifier and microcontroller to adjust impedance
Implementation Method 2
use a differential amplifier and microcontroller to adjust impedance, allowing for the acquisition, conditioning, processing
Data Source
AI summary
Disclosed is a system for assessing and monitoring muscle performance with self-adjusting feedback in order to evaluate progress in physiotherapy received by patients who have suffered muscle damage, the method including: A) at least one apparatus for acquiring muscle or biopotential signals; signal conditioning; processing, sending, receiving information; and self-adjusting feedback; B) at least one external computer and/or monitor or graphic interface for viewing external information; C) wherein the at least one apparatus for acquiring muscle or biopotential signals; signal conditioning; processing, sending, receiving information; and self-adjusting feedback and the at least one external computer and/or monitor or graphic interface for viewing external information are configured to carry out a method for measuring, extracting and processing parameters for assessing and monitoring muscle performance with self-adjusting feedback in order to evaluate progress in physiotherapy received by patients who have suffered muscle damage.