Overview#

eegdash is an interface designed to streamline the access and use of EEG data for machine learning applications. It is composed of three main components that work together to provide a seamless experience for researchers and developers.

The architecture of eegdash can be visualized as follows:

+-----------------+
|     MongoDB     |
|    (Metadata)   |
+-----------------+
      |
      |
+-----------v-----------+      +-----------------+
|       eegdash         |<---->|   S3 Filesystem |
|     Interface         |      |    (Raw Data)   |
+-----------------------+      +-----------------+
      |
      |
+-----------v-----------+
|      BIDS Parser      |
+-----------------------+

The components are:

  • MongoDB: This is a NoSQL database that centralizes all the metadata related to the EEG datasets. It stores information about subjects, sessions, tasks, and other relevant details, allowing for fast and efficient querying.

  • S3 Filesystem: The raw EEG data is stored in an S3-compatible object storage. This allows for scalable and reliable storage of large datasets. eegdash interacts with the S3 filesystem to download the data when it is needed.

  • BIDS Parser: The BIDS (Brain Imaging Data Structure) parser is responsible for interpreting the structure of the datasets. It ensures that the data is organized in a standardized way, making it easier to work with and understand.

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