moabb.datasets.Cattan2019_PHMD#

class moabb.datasets.Cattan2019_PHMD(subjects=None, sessions=None)[source]#

Passive Head Mounted Display with Music Listening dataset [1].

Dataset summary

#Subj

12

#Chan

16

#Classes

2

Trials length

60 s

Freq

512 Hz

#Sessions

1

#Blocks / class

5

Participants

  • Population: healthy

  • Age: 26.25 years

Equipment

  • Amplifier: g.USBamp

  • Electrodes: wet

  • Montage: standard_1020

  • Reference: right earlobe

Preprocessing

  • Data state: raw, unfiltered

  • Notes: Data were acquired with no digital filter. No Faraday cage used to mimic real-world usage.

Data Access

Experimental Protocol

  • Paradigm: rstate

  • Feedback: none

  • Stimulus: visual fixation marker

Found an issue with this dataset?

If you encounter any problems with this dataset (missing files, incorrect metadata, loading errors, etc.), please let us know!

Report an Issue on GitHub

We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.2617084 in mat (Mathworks, Natick, USA) and csv formats. This dataset contains electroencephalographic recordings of 12 subjects listening to music with and without a passive head-mounted display, that is, a head-mounted display which does not include any electronics at the exception of a smartphone. The electroencephalographic headset consisted of 16 electrodes. Data were recorded during a pilot experiment taking place in the GIPSA-lab, Grenoble, France, in 2017 (Cattan and al, 2018). The ID of this dataset is PHMDML.EEG.2017-GIPSA.

full description of the experiment https://hal.archives-ouvertes.fr/hal-02085118

Link to the data https://doi.org/10.5281/zenodo.2617084

Authors Principal Investigator: Eng. Grégoire Cattan Technical Supervisors: Eng. Pedro L. C. Rodrigues Scientific Supervisor: Dr. Marco Congedo

ID of the dataset PHMDML.EEG.2017-GIPSA

Notes

Note

Cattan2019_PHMD was previously named HeadMountedDisplay. HeadMountedDisplay will be removed in version 1.1.

Added in version 1.0.0.

References

[1]

G. Cattan, P. L. Coelho Rodrigues, and M. Congedo, ‘Passive Head-Mounted Display Music-Listening EEG dataset’, Gipsa-Lab ; IHMTEK, Research Report 2, Mar. 2019. doi: 10.5281/zenodo.2617084.

data_path(subject, path=None, force_update=False, update_path=None, verbose=None)[source]#

Get path to local copy of a subject data.

Parameters:

  • subject (int) – Number of subject to use

  • path (None | str) – Location of where to look for the data storing location. If None, the environment variable or config parameter MNE_DATASETS_(dataset)_PATH is used. If it doesn’t exist, the “~/mne_data” directory is used. If the dataset is not found under the given path, the data will be automatically downloaded to the specified folder.

  • force_update (bool) – Force update of the dataset even if a local copy exists.

  • update_path (bool | None Deprecated) – If True, set the MNE_DATASETS_(dataset)_PATH in mne-python config to the given path. If None, the user is prompted.

  • verbose (bool, str, int, or None) – If not None, override default verbose level (see mne.verbose()).

Returns:

path – Local path to the given data file. This path is contained inside a list of length one, for compatibility.

Return type:

list of str

Examples using moabb.datasets.Cattan2019_PHMD#

Spectral analysis of the trials

Spectral analysis of the trials