{"dataset":{"id":"376","dataset_id":"nm000341","name":"Cattan, Rodrigues & Congedo 2019 — Passive Head-Mounted Display Music-Listening EEG dataset (PHMD)","description":"This dataset comprises electroencephalographic recordings from 12 healthy subjects during music listening with and without a passive head-mounted display (PHMD). The study employed a 16-channel EEG system sampling at 512 Hz. A passive head-mounted display is a head-mounted device without integrated electronics, consisting of a smartphone holder. The dataset provides raw, unfiltered EEG data in mat and csv formats, designed to support research on the effects of head-mounted displays and auditory stimuli on brain activity. This is a BIDS-converted derivative of the original Zenodo dataset (10.5281/zenodo.2617084).","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000341","concept_doi":"10.82901/nemar.nm000341","latest_version_doi":"10.82901/nemar.nm000341.v1.0.5","created_at":"2026-03-28 17:24:49","updated_at":"2026-08-18 18:21:59","zenodo_concept_id":"20738390","is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Cattan, Rodrigues & Congedo 2019 — Passive Head-Mounted Display Music-Listening EEG dataset (PHMD)\",\n  \"description\": \"This dataset comprises electroencephalographic recordings from 12 healthy subjects during music listening with and without a passive head-mounted display (PHMD). The study employed a 16-channel EEG system sampling at 512 Hz. A passive head-mounted display is a head-mounted device without integrated electronics, consisting of a smartphone holder. The dataset provides raw, unfiltered EEG data in mat and csv formats, designed to support research on the effects of head-mounted displays and auditory stimuli on brain activity. This is a BIDS-converted derivative of the original Zenodo dataset (10.5281/zenodo.2617084).\",\n  \"methods_description\": \"EEG data were acquired from 12 subjects using a 16-channel g.USBamp system (512 Hz sampling rate) with wet electrodes in a standard 10-20 montage. Subjects sat approximately 50 cm from a screen and listened to Bach harpsichord music while focusing on a visual fixation marker. Ten 60-second blocks were recorded with randomized smartphone on/off conditions (5 blocks each). Data were acquired without digital filtering or Faraday cage shielding to simulate real-world conditions. This dataset is a BIDS-converted derivative prepared using MOABB (Mother of All BCI Benchmarks).\",\n  \"license\": \"CC-BY-4.0\",\n  \"dataset_type\": \"derivative\",\n  \"authors\": {\n    \"G. Cattan\": {},\n    \"P. L. C. Rodrigues\": {},\n    \"M. Congedo\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"Electroencephalography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004569\"\n    },\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"Head-mounted displays\"\n    },\n    {\n      \"term\": \"Music listening\"\n    },\n    {\n      \"term\": \"Auditory stimulation\"\n    },\n    {\n      \"term\": \"Passive head-mounted display\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.5281/zenodo.2617084\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"10.2312/vriphys.20181064\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/nm000341\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.21105/joss.01896\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1038/s41597-019-0104-8\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/nm000341\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"541.2 MB (25 files)\"\n  ],\n  \"formats\": [\n    \".bdf\",\n    \".json\",\n    \".mat\",\n    \".md\",\n    \".tsv\",\n    \".yaml\",\n    \".yml\"\n  ],\n  \"source_hash\": \"b770fc04aee3d752881d6bc8452c6a711c28d0d5c5ae2e89b289945cc66c1ca0\"\n}","last_activity_at":"2026-08-16 13:40:06","source":null,"source_id":null,"subject_count":12,"modalities":"eeg","age_min":26.25,"age_max":26.25,"file_size":541232451,"total_files":119,"tasks":"rstate","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"G. Cattan, P. L. C. Rodrigues, M. Congedo","license":"CC-BY-4.0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000341-blue)](https://doi.org/10.82901/nemar.nm000341)\n\nCattan2019-PHMD\n===============\n\nPassive Head Mounted Display with Music Listening dataset [1]_.\n\nDataset Overview\n----------------\n  Code: Cattan2019-PHMD\n  Paradigm: rstate\n  DOI: 10.5281/zenodo.2617084\n  Subjects: 12\n  Sessions per subject: 1\n  Events: off=1, on=2\n  Trial interval: [0, 1] s\n  File format: mat and csv\n\nAcquisition\n-----------\n  Sampling rate: 512.0 Hz\n  Number of channels: 16\n  Channel types: eeg=16\n  Channel names: Cz, Fc5, Fc6, Fp1, Fp2, Fz, O1, O2, Oz, P3, P4, P7, P8, Pz, T7, T8\n  Montage: standard_1020\n  Hardware: g.USBamp\n  Software: OpenViBE\n  Reference: right earlobe\n  Ground: AFz\n  Sensor type: wet\n  Line frequency: 50.0 Hz\n  Online filters: no digital filter\n  Cap manufacturer: EasyCap\n  Cap model: EC20\n  Electrode type: wet\n\nParticipants\n------------\n  Number of subjects: 12\n  Health status: healthy\n  Age: mean=26.25, std=2.63\n  Gender distribution: male=9, female=3\n  Species: human\n\nExperimental Protocol\n---------------------\n  Paradigm: rstate\n  Number of classes: 2\n  Class labels: off, on\n  Trial duration: 60.0 s\n  Study design: focus on the marker and to listen to the music that was diffused during the experiment (Bach Invention from one to ten on harpsichord).\n  Feedback type: none\n  Stimulus type: visual fixation marker\n  Stimulus modalities: visual, auditory\n  Primary modality: auditory\n  Training/test split: False\n  Instructions: Subjects were asked to focus on the marker and to listen to the music that was diffused during the experiment\n\nHED Event Annotations\n---------------------\n  Schema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser\n\n  off\n    ├─ Experiment-structure\n    └─ Rest\n\n  on\n    ├─ Experiment-structure\n    └─ Rest\n\nData Structure\n--------------\n  Blocks per session: 10\n  Block duration: 60.0 s\n  Trials context: 5 blocks with smartphone switched-off and 5 blocks with smartphone switched-on, randomized sequence\n\nPreprocessing\n-------------\n  Data state: raw, unfiltered\n  Preprocessing applied: False\n  Notes: Data were acquired with no digital filter. No Faraday cage used to mimic real-world usage.\n\nBCI Application\n---------------\n  Applications: vr_ar\n  Environment: laboratory\n  Online feedback: False\n\nTags\n----\n  Pathology: Healthy\n  Modality: EEG\n  Type: Resting State\n\nDocumentation\n-------------\n  Description: This dataset contains electroencephalographic recordings of 12 subjects listening to music with and without a passive head-mounted display\n  DOI: 10.5281/zenodo.2617084\n  Associated paper DOI: 10.2312/vriphys.20181064\n  License: CC-BY-4.0\n  Investigators: G. Cattan, P. L. C. Rodrigues, M. Congedo\n  Senior author: M. Congedo\n  Institution: GIPSA-lab, CNRS, University Grenoble-Alpes, Grenoble INP\n  Address: GIPSA-lab, 11 rue des Mathématiques, Grenoble Campus BP46, F-38402, France\n  Country: FR\n  Repository: Zenodo\n  Data URL: https://doi.org/10.5281/zenodo.2617084\n  Publication year: 2019\n  How to acknowledge: Python code for manipulating the data is available at https://github.com/plcrodrigues/py.PHMDML.EEG.2017-GIPSA\n  Keywords: Electroencephalography (EEG), Virtual Reality (VR), Passive Head-Mounted Display (PHMD), experiment\n\nAbstract\n--------\nWe 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. Python code for manipulating the data is available at https://github.com/plcrodrigues/py.PHMDML.EEG.2017-GIPSA. The ID of this dataset is PHMDML.EEG.2017-GIPSA.\n\nMethodology\n-----------\nSubjects sat in front of screen at ~50 cm distance without instrumental noise-reduction devices. EEG cap and Samsung Gear were placed on subject. Smartphones were continuously swapped between switched-on and switched-off conditions. Each block consisted of 1 minute of EEG recording with eyes opened. The sequence of 10 blocks was randomized prior to experiment using random number generator with no autocorrelation. Triggers marked beginning of each block (1=switched-off, 2=switched-on).\n\nReferences\n----------\nG. 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.\nAppelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Hochenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896). https://doi.org/10.21105/joss.01896\n\nPernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. 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