{"dataset":{"id":"234","dataset_id":"nm000201","name":"ERP paradigm of the Mobile BCI dataset","description":"This derivative dataset presents an event-related potential (ERP) paradigm from the Mobile BCI dataset, comprising 24 healthy participants performing visual oddball tasks during various locomotion states (standing, walking, running). The dataset includes 73-channel EEG recordings sampled at 100 Hz with 5 sessions per subject, annotated with HED 8.4.0 event tags for target and non-target stimuli. This resource enables investigation of P300-based brain-computer interface performance in mobile and dynamic environments.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000201","concept_doi":"10.82901/nemar.nm000201","latest_version_doi":"10.82901/nemar.nm000201.v1.0.2","created_at":"2026-03-24 01:35:55","updated_at":"2026-08-18 21:11:59","zenodo_concept_id":"20502229","is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"ERP paradigm of the Mobile BCI dataset\",\n  \"description\": \"This derivative dataset presents an event-related potential (ERP) paradigm from the Mobile BCI dataset, comprising 24 healthy participants performing visual oddball tasks during various locomotion states (standing, walking, running). The dataset includes 73-channel EEG recordings sampled at 100 Hz with 5 sessions per subject, annotated with HED 8.4.0 event tags for target and non-target stimuli. This resource enables investigation of P300-based brain-computer interface performance in mobile and dynamic environments.\",\n  \"methods_description\": \"EEG data were acquired using a 73-channel BrainAmp system (Brain Products GmbH) with Ag/AgCl electrodes in a standard 1005 montage, referenced to FCz with ground at Fpz. Sampling rate was 100 Hz with 60 Hz line frequency filtering. Impedance was maintained below 50 kOhm. Four auxiliary EOG channels recorded vertical and horizontal eye movements. Participants performed visual oddball P300 tasks during standing, walking, and running conditions.\",\n  \"license\": \"CC BY 4.0\",\n  \"dataset_type\": \"derivative\",\n  \"authors\": {\n    \"Young-Eun Lee\": {\n      \"orcid\": \"0000-0003-2610-7028\"\n    },\n    \"Gi-Hwan Shin\": {\n      \"orcid\": \"0000-0002-7348-0610\"\n    },\n    \"Minji Lee\": {\n      \"orcid\": \"0000-0003-4261-875X\"\n    },\n    \"Seong-Whan Lee\": {\n      \"orcid\": \"0000-0002-6249-4996\"\n    }\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"event-related potentials\"\n    },\n    {\n      \"term\": \"P300\"\n    },\n    {\n      \"term\": \"brain-computer interfaces\"\n    },\n    {\n      \"term\": \"mobile BCI\"\n    },\n    {\n      \"term\": \"visual oddball\"\n    },\n    {\n      \"term\": \"locomotion\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.1038/s41597-021-01094-4\",\n      \"identifier_type\": \"DOI\",\n     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the Mobile BCI dataset.\n\n## Dataset Overview\n\n- **Code**: Lee2021Mobile-ERP\n- **Paradigm**: p300\n- **DOI**: 10.1038/s41597-021-01094-4\n- **Subjects**: 24\n- **Sessions per subject**: 5\n- **Events**: Target=2, NonTarget=1\n- **Trial interval**: [0, 1.0] s\n- **File format**: BrainVision\n\n## Acquisition\n\n- **Sampling rate**: 100.0 Hz\n- **Number of channels**: 73\n- **Channel types**: eeg=73\n- **Montage**: standard_1005\n- **Hardware**: BrainAmp (Brain Product GmbH)\n- **Reference**: FCz\n- **Ground**: Fpz\n- **Sensor type**: Ag/AgCl\n- **Line frequency**: 60.0 Hz\n- **Impedance threshold**: 50 kOhm\n- **Electrode material**: Ag/AgCl\n- **Auxiliary channels**: EOG (4 ch, vertical, horizontal)\n\n## Participants\n\n- **Number of subjects**: 24\n- **Health status**: healthy\n- **Age**: mean=24.5, std=2.9, min=19, max=32\n- **Gender distribution**: male=14, female=10\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**: BCI during motion (standing/walking/running)\n- **Stimulus type**: visual oddball\n- **Stimulus modalities**: visual\n- **Primary modality**: visual\n- **Synchronicity**: synchronous\n- **Mode**: offline\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## BCI Application\n\n- **Environment**: mobile\n- **Online feedback**: False\n\n## Tags\n\n- **Pathology**: healthy\n- **Modality**: visual\n- **Type**: perception\n\n## Documentation\n\n- **DOI**: 10.1038/s41597-021-01094-4\n- **License**: CC BY 4.0\n- **Investigators**: Young-Eun Lee, Gi-Hwan Shin, Minji Lee, Seong-Whan Lee\n- **Senior author**: Seong-Whan Lee\n- **Institution**: Korea University\n- **Country**: KR\n- **Repository**: OSF\n- **Data URL**: https://osf.io/r7s9b/\n- **Publication year**: 2021\n- **Funding**: IITP No. 2017-0-00451; IITP No. 2015-0-00185; IITP No. 2019-0-00079\n- **Ethics approval**: Institutional Review Board of Korea University, KUIRB-2019-0194-01\n- **Keywords**: SSVEP, ERP, mobile BCI, ear-EEG, locomotion\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. 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