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iothings:proiecte:2022:open_bci_esp32 [2023/01/20 00:57] razvan.trombitas |
iothings:proiecte:2022:open_bci_esp32 [2023/01/20 07:21] (current) razvan.trombitas |
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All the materials, including the source code and presentation, are [[https://drive.google.com/drive/folders/1evuBMFwSy3p-BWxp4x56hw7jAbswl1sW?usp=share_link|here]] | All the materials, including the source code and presentation, are [[https://drive.google.com/drive/folders/1evuBMFwSy3p-BWxp4x56hw7jAbswl1sW?usp=share_link|here]] | ||
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+ | Demo [[https://www.youtube.com/watch?v=ifWhXjAmhn4&ab_channel=Razvan|here]] | ||
===== 1. Project overview ===== | ===== 1. Project overview ===== | ||
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The entire hardware setup can be seen in the following picture: | The entire hardware setup can be seen in the following picture: | ||
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{{:iothings:proiecte:2022:firebase_data.jpg?720|}} | {{:iothings:proiecte:2022:firebase_data.jpg?720|}} | ||
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In addition to the real-time processing and visualization of EEG data, this project also allows for the extraction and analysis of EEG data in a post-processing manner. The OpenBCI Cyton board is able to save the EEG data in a .csv file format, which can be easily exported and analyzed using a script such as Python. By using a script, it is possible to perform more advanced and detailed analysis of the EEG data. | In addition to the real-time processing and visualization of EEG data, this project also allows for the extraction and analysis of EEG data in a post-processing manner. The OpenBCI Cyton board is able to save the EEG data in a .csv file format, which can be easily exported and analyzed using a script such as Python. By using a script, it is possible to perform more advanced and detailed analysis of the EEG data. |