Muscle Fatigue Measurement Using EMG Frequency Analysis

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Solution Overview

Problem

Existing systems for determining muscle fatigue in athletes provide inconsistent metrics due to variations in muscle physiology and body composition, leading to unreliable feedback and poor user experience.

Innovation Solution

An exercise feedback system that utilizes electromyography (EMG) data to measure muscle fatigue by analyzing frequency and power spectrum changes, removing artifacts, and compensating for interferences, allowing for customized exercise programs and injury risk assessment through a sensor-equipped athletic garment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If EMG amplitude is used to measure muscle fatigue, then the measurement reflects muscle activation intensity, but the measurement becomes unstable and unreliable due to strong influence from activation intensity variations

Engineering Contradiction:
Improvemuscle fatigue measurement accuracyVSAvoidmeasurement consistency
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent transitions from using EMG amplitude parameters to using EMG frequency parameters (power spectrum) to measure muscle fatigue. This parameter change allows the system to capture fatigue-related frequency shifts while eliminating the confounding influence of activation intensity on the measurement, thereby resolving the contradiction between measurement precision and reliability.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If frequency or power spectrum changes are used to measure muscle fatigue, then the measurement becomes more stable, but the system complexity increases due to artifact removal and interference compensation requirements

Engineering Contradiction:
Improvemeasurement stabilityVSAvoidsignal processing complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies preliminary signal processing actions including artifact removal and interference compensation before performing frequency analysis. By preprocessing the EMG signals to eliminate artifacts and dynamic exercise interferences beforehand, the system enables reliable frequency-based fatigue measurement without requiring overly complex real-time processing during exercise.

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If EMG signals are used to provide comparable metrics between different muscle groups and athletes, then the feedback can guide training improvement, but the metrics become inconsistent due to variations in muscle physiology and body composition

Engineering Contradiction:
Improvecross-muscle and cross-athlete comparabilityVSAvoidmetric consistency
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent uses frequency-domain parameters (power spectrum) instead of time-domain amplitude parameters to enable consistent comparison across different muscles and athletes. Frequency shifts in EMG signals are indicative of muscle fatigue mechanisms that are relatively consistent across different muscle groups and individuals, thereby providing comparable metrics for training feedback despite variations in muscle physiology and body composition.

Inventive Principle:
Principle #35Parameter changes

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 stable and accurate muscle fatigue measurements, enabling personalized training programs and real-time biofeedback, thereby improving athletic performance and reducing injury risk.

Implementation Method 1

electromyography (EMG) electrodes can measure electrical activity generated by a person's muscles

Methodology Applied
Scientific EffectElectromyography:

Data Source

PatentUS11246531B2Fatigue measurement in a sensor equipped garment
Publication Date: 2022.02.15 MAD APPL
  • US11246531B2 patent drawing
  • US11246531B2 patent drawing
  • US11246531B2 patent drawing

AI summary

An exercise feedback system determines muscle fatigue measurements using physiological data generated by a sensor-equipped athletic garment. The muscle fatigue measurement is determined by analyzing the frequency spread of the physiological data. The exercise feedback system may customize exercise programs, determine risks of injury, or generate biofeedback for presentation on graphical user interfaces using the muscle fatigue measurements. The exercise feedback system accesses pre-determined muscle fatigue measurement models that define criteria for the aforementioned features. For instance, if an athlete is becoming fatigued and exercising with improper form based on a muscle fatigue measurement, the exercise feedback system modifies the athlete's exercise program to help target and improve the athlete's weaknesses as well as to prevent injury.