EMGD-FE: an open source graphical user interface for estimating isometric muscle forces in the lower limb using an...

Area of Science:

• Biomechanics
• Computational Biology
• Human Movement Science

Background:

• Electromyography (EMG) signals are crucial for understanding skeletal muscle function.
• Estimating muscle forces from EMG requires sophisticated modeling and signal processing.
• Existing methods may lack integrated tools for comprehensive analysis.

Purpose of the Study:

• To introduce the EMG Driven Force Estimator (EMGD-FE), a novel Matlab GUI application.
• To provide a user-friendly platform for estimating skeletal muscle forces from EMG data.
• To facilitate the analysis of muscle dynamics during isometric contractions.

Main Methods:

• Development of a graphical user interface (GUI) in Matlab.
• Numerical integration of Hill-type muscle dynamics using ordinary differential equations (ODEs).
• Utilizing processed EMG signals as input for muscle force estimation.
• Simultaneous collection of EMG and torque data using a dynamometer.

Main Results:

• Demonstration of individual muscle force estimation for lower limb muscles (e.g., quadriceps femoris).
• Successful estimation of knee isometric torque alongside individual muscle force components.
• The application guides users through signal pre-processing, model input creation, ODE integration, and result analysis.

Conclusions:

• The EMGD-FE GUI effectively estimates individual skeletal muscle forces from EMG signals.
• Accuracy of force estimation is influenced by EMG signal quality and underlying modeling assumptions.
• This tool supports research in biomechanics and muscle physiology by providing quantitative force data.