{"dataset":{"id":"246","dataset_id":"nm000213","name":"Television control experiment (30 subjects, 4 classes, 31 EEG ch)","description":"A P300-based brain-computer interface dataset for television control comprising EEG recordings from 30 healthy subjects performing a visual oddball task. The dataset includes 31-channel EEG data acquired at 500 Hz using active electrodes in a standard 10-20 montage, with target and non-target stimulus classifications for home appliance control applications. Data were collected in an online feedback paradigm with visual flash stimuli presented at 750 ms stimulus onset asynchrony.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000213","concept_doi":"10.82901/nemar.nm000213","latest_version_doi":"10.82901/nemar.nm000213.v1.0.3","created_at":"2026-03-24 05:20:04","updated_at":"2026-08-18 21:15:02","zenodo_concept_id":"20518581","is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"Television control experiment (30 subjects, 4 classes, 31 EEG ch)\",\n  \"description\": \"A P300-based brain-computer interface dataset for television control comprising EEG recordings from 30 healthy subjects performing a visual oddball task. The dataset includes 31-channel EEG data acquired at 500 Hz using active electrodes in a standard 10-20 montage, with target and non-target stimulus classifications for home appliance control applications. Data were collected in an online feedback paradigm with visual flash stimuli presented at 750 ms stimulus onset asynchrony.\",\n  \"methods_description\": \"EEG data were acquired using an actiCHamp system (Brain Products) with 31 active electrodes in a standard 10-20 montage referenced to linked mastoids. Sampling rate was 500 Hz with 60 Hz line frequency. Subjects performed a P300 oddball task with visual flash stimuli presented on an LCD display. Each subject completed one session with 50 training and 30 testing blocks, with trial duration of 1.0 s and stimulus onset asynchrony of 750 ms.\",\n  \"license\": \"CC-BY-4.0\",\n  \"dataset_type\": \"derivative\",\n  \"authors\": {\n    \"Jongmin Lee\": {},\n    \"Minju Kim\": {},\n    \"Dojin Heo\": {},\n    \"Jongsu Kim\": {},\n    \"Min-Ki Kim\": {},\n    \"Taejun Lee\": {},\n    \"Jongwoo Park\": {},\n    \"HyunYoung Kim\": {},\n    \"Minho Hwang\": {},\n    \"Laehyun Kim\": {},\n    \"Sung-Phil Kim\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"Brain-Computer Interfaces\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D062207\"\n    },\n    {\n      \"term\": \"Event-Related Potentials, P300\",\n      \"subject_scheme\": \"MeSH\",\n      \"scheme_uri\": \"https://id.nlm.nih.gov/mesh/\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D018913\"\n    },\n    {\n      \"term\": \"oddball paradigm\"\n    },\n    {\n      \"term\": \"home appliance control\"\n    },\n    {\n      \"term\": \"visual stimulation\"\n    },\n    {\n      \"term\": \"P300\"\n    },\n    {\n      \"term\": \"ERP\"\n    },\n    {\n      \"term\": \"healthy subjects\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.3389/fnhum.2024.1320457\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/nm000213\",\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/nm000213\",\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    \"3.3 GB (4632 files)\"\n  ],\n  \"formats\": [\n    \".bdf\",\n    \".json\",\n    \".mat\",\n    \".md\",\n    \".tsv\",\n    \".yaml\",\n    \".yml\"\n  ],\n  \"source_hash\": \"e691eb782ec3456111ddd6a1cde3818a3153b3fa3f932ba84e3b9c767f868532\"\n}","last_activity_at":"2026-08-18 18:04:39","source":null,"source_id":null,"subject_count":30,"modalities":"eeg","age_min":21.63,"age_max":21.63,"file_size":3321058111,"total_files":16292,"tasks":"p300","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Jongmin Lee, Minju Kim, Dojin Heo, Jongsu Kim, Min-Ki Kim, Taejun Lee, Jongwoo Park, HyunYoung Kim, Minho Hwang, Laehyun Kim, Sung-Phil Kim","license":"CC-BY-4.0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000213-blue)](https://doi.org/10.82901/nemar.nm000213)\n\n# Television control experiment (30 subjects, 4 classes, 31 EEG ch)\n\nTelevision control experiment (30 subjects, 4 classes, 31 EEG ch).\n\n## Dataset Overview\n\n- **Code**: Lee2024-TV\n- **Paradigm**: p300\n- **DOI**: 10.3389/fnhum.2024.1320457\n- **Subjects**: 30\n- **Sessions per subject**: 1\n- **Events**: Target=2, NonTarget=1\n- **Trial interval**: [0, 1] s\n- **File format**: MATLAB\n\n## Acquisition\n\n- **Sampling rate**: 500.0 Hz\n- **Number of channels**: 31\n- **Channel types**: eeg=31\n- **Channel names**: Fp1, Fpz, Fp2, F7, F3, Fz, F4, F8, FT9, FC5, FC1, FC2, FC6, FT10, T7, C3, Cz, C4, T8, CP5, CP1, CP2, CP6, P7, P3, Pz, P4, P8, O1, Oz, O2\n- **Montage**: standard_1020\n- **Hardware**: actiCHamp (Brain Products)\n- **Reference**: linked mastoids\n- **Sensor type**: active\n- **Line frequency**: 60.0 Hz\n\n## Participants\n\n- **Number of subjects**: 30\n- **Health status**: healthy\n- **Age**: mean=21.63, std=2.31\n- **Gender distribution**: male=23, female=7\n- **Species**: human\n\n## Experimental Protocol\n\n- **Paradigm**: p300\n- **Number of classes**: 2\n- **Class labels**: Target, NonTarget\n- **Trial duration**: 1.0 s\n- **Study design**: P300 BCI for TV home appliance control; 4-class oddball; LCD display\n- **Feedback type**: visual\n- **Stimulus type**: flash\n- **Stimulus modalities**: visual\n- **Primary modality**: visual\n- **Mode**: online\n\n## HED Event Annotations\n\nSchema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser\n\n```\n  Target\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Target\n\n  NonTarget\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Non-target\n\n```\n## Paradigm-Specific Parameters\n\n- **Detected paradigm**: p300\n- **Stimulus onset asynchrony**: 750.0 ms\n\n## Data Structure\n\n- **Trials**: 50 training + 30 testing blocks per subject\n- **Trials context**: per_subject\n\n## BCI Application\n\n- **Applications**: home_appliance_control\n- **Environment**: laboratory\n- **Online feedback**: True\n\n## Tags\n\n- **Pathology**: Healthy\n- **Modality**: ERP\n- **Type**: P300\n\n## Documentation\n\n- **DOI**: 10.3389/fnhum.2024.1320457\n- **License**: CC-BY-4.0\n- **Investigators**: Jongmin Lee, Minju Kim, Dojin Heo, Jongsu Kim, Min-Ki Kim, Taejun Lee, Jongwoo Park, HyunYoung Kim, Minho Hwang, Laehyun Kim, Sung-Phil Kim\n- **Institution**: Ulsan National Institute of Science and Technology\n- **Country**: KR\n- **Data URL**: https://github.com/jml226/Home-Appliance-Control-Dataset\n- **Publication year**: 2024\n\n## References\n\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. Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104-8\n\n---\nGenerated by MOABB 1.5.0 (Mother of All BCI Benchmarks)\nhttps://github.com/NeuroTechX/moabb\n","bids_version":"1.9.0","sessions_count":1,"publish_date":null,"embedding_dirty":0,"license_tier":"attribution","zarr_status":"ready","zarr_converted_at":"2026-09-04 10:26:31","zarr_store_count":2300,"zarr_index_etag":"75f03c1798d4543d6bf7a05e752e284b","zarr_source_commit":"e8356df6ebbc4778c16f9b4703f2cb0fb0e5dd1c","archive_status":"ready","archive_size":3019874922,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":0,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":null,"num_dataset_citations":0,"num_datapaper_citations":8,"n_channels":31,"electrode_system":"10-10","has_hed":1,"hed_version":"8.4.0","is_exemplar":0,"bytes_present":3308452882,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":1,"archive_absent_files":0,"archive_declared_files":16292,"zarr_pool_breaks":0,"total_recording_duration":31743,"recording_duration_min":11,"recording_duration_max":365,"recording_count":2300,"recordings_unavailable":0,"recordings_measured":2300,"channel_count_min":31,"channel_count_max":31,"sampling_frequency":500,"power_line_frequency":60,"eeg_reference":"linked mastoids","placement_scheme":"10-20 system","sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-18 18:14:01\",\"metadata_updated_at\":\"2026-08-18 21:15:00\",\"archive_checked_at\":\"2026-08-18 21:21:42\",\"zarr_checked_at\":\"2026-06-07 17:58:31\",\"records_checked_at\":\"2026-08-18 21:17:13\",\"citations_updated_at\":\"2026-09-08 03:00:50\",\"channel_montage_checked_at\":\"2026-06-28 22:58:11\",\"hed_checked_at\":\"2026-06-30 07:29:31\",\"data_checked_at\":null,\"availability_report_at\":\"2026-08-21 03:00:43\",\"signal_defaults_at\":\"2026-09-02 11:44:50\",\"recording_stats_at\":\"2026-09-05 03:01:31\"}","participants":30,"num_citations":8,"latest_version":"v1.0.3","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"bruaristimunha","owner_github":"bruAristimunha","file_size_formatted":"3.09 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/nm000213/zarr/index.json","attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}