NeuroTechX / moabb

Mother of All BCI Benchmarks
https://neurotechx.github.io/moabb/
BSD 3-Clause "New" or "Revised" License
678 stars 176 forks source link

Clarify How to Distinguish Different Days in BNCI2015_001 Dataset #539

Closed Buddies-as-you-know closed 8 months ago

Buddies-as-you-know commented 8 months ago

Description

I am currently working with the BNCI2015_001 dataset in the NeuroTechX/moabb repository. The documentation mentions that the data was collected over a period of five days. However, it's unclear how one can distinguish between these different days within the dataset. This information is crucial for my analysis, as I need to separate the data based on the day it was collected.

Objective

The purpose of this issue is to gain clarity on how to differentiate the data collected on different days in the BNCI2015_001 dataset. This will enable me to accurately analyze the data day-wise, which is essential for my research.

Specific Questions

  1. Is there a specific variable or filename convention that indicates the day on which the data was collected?
  2. If such an identifier exists, could you provide examples or documentation on how to interpret it?
  3. In case there is no direct way to distinguish the data by day, could you suggest any workaround or method to infer the same?

Additional Context

Thank you for your assistance in this matter. Your guidance will be invaluable for my research using the BNCI2015_001 dataset.

bruAristimunha commented 8 months ago

Hey @Buddies-as-you-know,

Unfortunately, we are not directly familiar with the collection process in this dataset. We are just an interface between BNCI and the user. The datasets with the suffix BNCI come from the BNCI organization, and there is more information on the website: http://bnci-horizon-2020.eu/database/data-sets

I recommend contacting the authors or the organization. There is an email on the website. Our conventions and naming are not directly related to data collection. Everything inside the moabb is linked to the machine learning part.

Regarding inferring the difference in collections, I recommend looking at the raw data somehow, but I don't know if the authors have made it available.

Your research looks very interesting! If you can't get the answer with this dataset, possibly other datasets may have it, but you'll need to dig to see if the authors make the information available in some way. The most recent datasets will likely have the raw data.

Sorry I couldn't help you more with your question, and good research!