Built a deep learning model combining CNN and LSTM for classifying EEG motor imagery tasks using the PhysioNet dataset. Applied hyperparameter tuning, achieving high accuracy in hand movement detection for BCI applications in stroke rehabilitation. Includes data preprocessing, model training, and visualizations.
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Built a deep learning model combining CNN and LSTM for classifying EEG motor imagery tasks using the PhysioNet dataset. Applied hyperparameter tuning, achieving high accuracy in hand movement detection for BCI applications in stroke rehabilitation. Includes data preprocessing, model training, and visualizations.
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Mat-Algo/EEG-Motor-Imagery-Classification
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Built a deep learning model combining CNN and LSTM for classifying EEG motor imagery tasks using the PhysioNet dataset. Applied hyperparameter tuning, achieving high accuracy in hand movement detection for BCI applications in stroke rehabilitation. Includes data preprocessing, model training, and visualizations.
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