EEG based Motor Imagery with Musical Feedback | an AI Neurorehab Project by Sofia, Katarzyna & Hamed
Автор: Data Science Retreat
Загружено: 2025-11-06
Просмотров: 37
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EEG-Based Motor Imagery Detection with Musical Feedback for Accessible Neurorehabilitation
Project by Sofia Fregni, Katarzyna Kuhlmann & Hamed Koochaki Kelardeh
EEG-Based Motor Imagery Detection with Musical Feedback for Accessible Neurorehabilitation is an affordable brain–computer interface (BCI) that transforms EEG signals into spectrograms to classify imagined limb movements using CNN or CNN–LSTM models. Each detected motor imagery triggers mapped musical feedback, creating engaging sound textures that enhance motivation, neuroplasticity, and adherence while doubling as a creative tool. Potential extensions include reinforcement learning for adaptive, personalized musical feedback, balancing therapeutic benefit with user engagement.
#BrainComputerInterface #Neurorehabilitation #EEG #MachineLearning #AIHealthcare #BCI #MusicTherapy #DataScienceRetreat #AIDemoDay #accessibletechnology
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