Welcome to the EMG MATLAB Digital Signal Processing project – a comprehensive resource for the analysis and processing of Electromyography (EMG) data. This project is a collaborative effort that integrates MATLAB, signal processing techniques, and machine learning algorithms to classify EMG signals. By capturing and processing raw EMG data, this project offers a versatile solution for biomedical research and prosthetic device control.
- Diverse Dataset: Contains both raw and processed EMG data.
- Feature Extraction: Extracts meaningful features from raw EMG signals.
- Machine Learning Integration: Utilizes machine learning algorithms for signal classification.
- Comprehensive Documentation: Each folder contains additional README files with more detailed explanations.
- MATLAB
- Signal Processing Toolbox (MATLAB)
- Statistics and Machine Learning Toolbox (MATLAB)
- Clone the repository:
git clone https://github.com/ShekharShwetank/EMG_ANN.git cd EMG_ANN
- Navigate to the desired folder based on your requirements (raw data or extracted features).
Run the MATLAB scripts in the respective folders.
📦 EMG_ANN ┣ 📂 Electro-Myography-EMG-Dataset ┣ 📂 extracted_features_and_labeled_dataset ┣ 📂 extracted_features_dataset ┣ 📂 raw_emg_data_cropped_and_arranged ┗ 📂 raw_emg_data_unprocessed 📜 readme.md 📜 License
This project is licensed under the MIT License - see the LICENSE file for details.
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Myo Armband: A wearable device that captures EMG data for gesture recognition. (existing)
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OpenBCI: An open-source platform that captures brain (EEG), muscle (EMG), and heart (ECG) signals. (existing)
Differentiator: The EMG MATLAB Digital Signal Processing project provides a comprehensive resource for EMG signal processing and classification, offering a solution that can be customized for various applications.
Feel free to contribute! Check out the Contribution Guidelines for more information.
- Shekhar Shwetank
- Aakriti Singh
- S. Jeyaraman
The EMG MATLAB Digital Signal Processing project is more than just a project, it addresses the critical need for reliable EMG signal processing and classification in the field of biomedical engineering and beyond.
Happy Coding folks! 🚀