{"dataset":{"id":"264","dataset_id":"nm000231","name":"P300 dataset from Hoffmann et al 2008","description":"A P300 brain-computer interface dataset comprising EEG recordings from 8 subjects (4 disabled, 4 able-bodied) performing a visual oddball task with image stimuli. The dataset includes 32-channel EEG data sampled at 2048 Hz from 4 sessions per subject, with 810 total trials (135 targets, 675 non-targets) classified using Fisher's linear discriminant analysis and Bayesian linear discriminant analysis. This derivative dataset demonstrates high classification accuracy (100%) and information transfer rates suitable for BCI applications in disabled populations.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000231","concept_doi":"10.82901/nemar.nm000231","latest_version_doi":"10.82901/nemar.nm000231.v1.0.2","created_at":"2026-03-25 16:37:48","updated_at":"2026-08-18 21:18:47","zenodo_concept_id":"20519911","is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"P300 dataset from Hoffmann et al 2008\",\n  \"description\": \"A P300 brain-computer interface dataset comprising EEG recordings from 8 subjects (4 disabled, 4 able-bodied) performing a visual oddball task with image stimuli. The dataset includes 32-channel EEG data sampled at 2048 Hz from 4 sessions per subject, with 810 total trials (135 targets, 675 non-targets) classified using Fisher's linear discriminant analysis and Bayesian linear discriminant analysis. This derivative dataset demonstrates high classification accuracy (100%) and information transfer rates suitable for BCI applications in disabled populations.\",\n  \"methods_description\": \"EEG data were acquired using a Biosemi ActiveTwo system with 32 active electrodes at 2048 Hz sampling rate. Subjects performed a visual P300 oddball task counting silently when prescribed images were flashed among six possible stimuli (television, telephone, lamp, door, window, radio) presented with 400 ms inter-stimulus intervals. Each trial lasted 1 second with stimulus flash duration of 100 ms. Four sessions of 6 runs each were conducted per subject without feedback.\",\n  \"license\": \"Unknown\",\n  \"dataset_type\": \"derivative\",\n  \"authors\": {\n    \"Ulrich Hoffmann\": {},\n    \"Jean-Marc Vesin\": {},\n    \"Touradj Ebrahimi\": {},\n    \"Karin Diserens\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"P300\"\n    },\n    {\n      \"term\": \"brain-computer interface\"\n    },\n    {\n      \"term\": \"visual oddball task\"\n    },\n    {\n      \"term\": \"disabled subjects\"\n    },\n    {\n      \"term\": \"linear discriminant analysis\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.1016/j.jneumeth.2007.03.005\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/nm000231\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      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\"a66f654efb7d4fb2c228eeb1582fc7f488fa145cebafdef58ca45fcda4d0d66e\"\n}","last_activity_at":"2026-08-16 13:37:21","source":null,"source_id":null,"subject_count":8,"modalities":"eeg","age_min":30,"age_max":56,"file_size":4376871605,"total_files":1515,"tasks":"p300","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Ulrich Hoffmann, Jean-Marc Vesin, Touradj Ebrahimi, Karin Diserens","license":"Unknown","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000231-blue)](https://doi.org/10.82901/nemar.nm000231)\n\n# P300 dataset from Hoffmann et al 2008\n\nP300 dataset from Hoffmann et al 2008.\n\n## Dataset Overview\n\n- **Code**: EPFLP300\n- **Paradigm**: p300\n- **DOI**: 10.1016/j.jneumeth.2007.03.005\n- **Subjects**: 8\n- **Sessions per subject**: 4\n- **Events**: Target=2, NonTarget=1\n- **Trial interval**: [0, 1] s\n- **Runs per session**: 6\n- **File format**: MATLAB\n\n## Acquisition\n\n- **Sampling rate**: 2048.0 Hz\n- **Number of channels**: 32\n- **Channel types**: eeg=32, misc=2\n- **Channel names**: AF3, AF4, C3, C4, CP1, CP2, CP5, CP6, Cz, F3, F4, F7, F8, FC1, FC2, FC5, FC6, Fp1, Fp2, Fz, MA1, MA2, O1, O2, Oz, P3, P4, P7, P8, PO3, PO4, Pz, T7, T8\n- **Montage**: standard_1020\n- **Hardware**: Biosemi ActiveTwo\n- **Sensor type**: active\n- **Line frequency**: 50.0 Hz\n\n## Participants\n\n- **Number of subjects**: 8\n- **Health status**: mixed\n- **Clinical population**: 4 disabled (cerebral palsy, multiple sclerosis, late-stage amyotrophic lateral sclerosis, traumatic brain and spinal-cord injury C4 level), 4 able-bodied\n- **Age**: mean=38.4, min=30, max=56\n- **Gender distribution**: male=7, female=1\n- **BCI experience**: no training required\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**: Subjects counted silently how often a prescribed image (one of six: television, telephone, lamp, door, window, radio) was flashed while images were flashed in random sequences\n- **Feedback type**: none\n- **Stimulus type**: image_flash\n- **Stimulus modalities**: visual\n- **Primary modality**: visual\n- **Mode**: offline\n- **Instructions**: Subjects were asked to count silently how often a prescribed image was flashed\n- **Stimulus presentation**: flash_duration=100ms, isi=400ms, display=six images (television, telephone, lamp, door, window, radio)\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- **Number of targets**: 6\n- **Inter-stimulus interval**: 400.0 ms\n- **Stimulus onset asynchrony**: 400.0 ms\n\n## Data Structure\n\n- **Trials**: {'target': 135, 'non-target': 675}\n- **Trials per class**: target=135, non-target=675\n- **Trials context**: per_session\n\n## Preprocessing\n\n- **Data state**: raw\n- **Preprocessing applied**: False\n\n## Signal Processing\n\n- **Classifiers**: BLDA, FLDA\n- **Feature extraction**: temporal samples from selected electrodes\n- **Frequency bands**: analyzed=[1.0, 12.0] Hz\n\n## Cross-Validation\n\n- **Method**: leave-one-session-out\n- **Folds**: 4\n- **Evaluation type**: session-based\n\n## Performance (Original Study)\n\n- **Accuracy**: 100.0%\n- **Itr**: 28.8 bits/min\n- **Max Bitrate Disabled Avg**: 19.0\n- **Max Bitrate Able Bodied Avg**: 38.6\n- **Max Bitrate Overall Avg**: 28.8\n\n## BCI Application\n\n- **Applications**: environment_control\n- **Environment**: laboratory\n- **Online feedback**: False\n\n## Tags\n\n- **Pathology**: Healthy, Cerebral palsy, Multiple sclerosis, Amyotrophic lateral sclerosis, Traumatic brain injury, Post-anoxic encephalopathy\n- **Modality**: Visual\n- **Type**: Research\n\n## Documentation\n\n- **DOI**: 10.1016/j.jneumeth.2007.03.005\n- **License**: Unknown\n- **Investigators**: Ulrich Hoffmann, Jean-Marc Vesin, Touradj Ebrahimi, Karin Diserens\n- **Senior author**: Karin Diserens\n- **Contact**: ulrich.hoffmann@epfl.ch\n- **Institution**: Ecole Polytechnique Fédérale de Lausanne\n- **Department**: Signal Processing Institute\n- **Address**: Signal Processing Institute, CH-1015 Lausanne, Switzerland\n- **Country**: CH\n- **Repository**: http://bci.epfl.ch/p300\n- **Publication year**: 2008\n- **Funding**: Swiss National Science Foundation Grant No. 200020-112313\n- **Keywords**: Brain–computer interface, P300, Disabled subjects, Fisher's linear discriminant analysis, Bayesian linear discriminant analysis\n\n## References\n\nHoffmann, U., Vesin, J-M., Ebrahimi, T., Diserens, K., 2008. An efficient P300-based brain-computer interfacefor disabled subjects. Journal of Neuroscience Methods . https://doi.org/10.1016/j.jneumeth.2007.03.005\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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