{"dataset":{"id":"61134","dataset_id":"on005873","name":"SeizeIT2","description":"SeizeIT2 is a multicenter, prospective study validating the wearable Sensor Dot device for long-term epilepsy monitoring in adult and pediatric patients with refractory focal epilepsy. The dataset includes wearable EEG (behind-the-ear), ECG, EMG, and movement (accelerometer/gyroscope) recordings from 125 patients across five European epilepsy monitoring units, totaling approximately 11,640 hours of data and 886 recorded focal seizures. This BIDS-compliant version reorganizes the original SeizeIT2 data with BIDS-score compatible seizure annotations for use in epilepsy detection research.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on005873","concept_doi":"10.82901/nemar.on005873","latest_version_doi":"10.82901/nemar.on005873.v1.0.0","created_at":"2026-06-28 04:31:05","updated_at":"2026-08-19 01:08:20","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"SeizeIT2\",\n  \"description\": \"SeizeIT2 is a multicenter, prospective study validating the wearable Sensor Dot device for long-term epilepsy monitoring in adult and pediatric patients with refractory focal epilepsy. The dataset includes wearable EEG (behind-the-ear), ECG, EMG, and movement (accelerometer/gyroscope) recordings from 125 patients across five European epilepsy monitoring units, totaling approximately 11,640 hours of data and 886 recorded focal seizures. This BIDS-compliant version reorganizes the original SeizeIT2 data with BIDS-score compatible seizure annotations for use in epilepsy detection research.\",\n  \"methods_description\": \"Patients were monitored simultaneously with standard video-EEG (10-20 system or 25-electrode array) and the Sensor Dot (SD) wearable device, which recorded behind-the-ear EEG at 250 Hz along with ECG, EMG, and movement data (accelerometer/gyroscope at 25 Hz) via a second module on the chest. Electrode placement for the wearable EEG was tailored to each patient's suspected seizure onset hemisphere, yielding same-side and cross-head channels or additional lateral channels for generalized presentations.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Miguel Bhagubai\": {},\n    \"Christos Chatzichristos\": {},\n    \"Lauren Swinnen\": {},\n    \"Jaiver Macea\": {},\n    \"Jingwei Zhang\": {},\n    \"Lieven Lagae\": {},\n    \"Katrien Jansen\": {},\n    \"Andreas Schulze-Bonhage\": {},\n    \"Francisco Sales\": {},\n    \"Benno Mahler\": {},\n    \"Yvonne Weber\": {},\n    \"Wim Van Paesschen\": {},\n    \"Maarten De Vos  \": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"Epilepsy\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004827\"\n    },\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"Electrocardiography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004562\"\n    },\n    {\n      \"term\": \"Electromyography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004576\"\n    },\n    {\n      \"term\": \"wearable device\"\n    },\n    {\n      \"term\": \"seizure detection\"\n    },\n    {\n      \"term\": \"focal epilepsy\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on005873\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on005873\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds005873\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsVersionOf\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds005873.v1.1.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"European Union\",\n      \"award_number\": \"19263\",\n      \"award_title\": \"H2020-OTHER-EIT-HEALTH program\"\n    },\n    {\n      \"funder_name\": \"KU Leuven\",\n      \"award_number\": \"C24/18/097\",\n      \"award_title\": \"Bijzonder Onderzoeksfonds (BOF): Prevalence of Epilepsy and Sleep Disturbances in Alzheimer Disease\"\n    },\n    {\n      \"funder_name\": \"Research Foundation Flanders (FWO)\",\n      \"award_number\": \"1SB5922N\",\n      \"award_title\": \"Strategic basic research grant\"\n    },\n    {\n      \"funder_name\": \"Research Foundation Flanders (FWO)\",\n      \"award_number\": \"G0D8321N\",\n      \"award_title\": \"Deep, personalized epileptic seizure detection\"\n    },\n    {\n      \"funder_name\": \"Flemish Government\",\n      \"award_title\": \"AI Research Program\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\",\n    \"emg\"\n  ],\n  \"sizes\": [\n    \"125.8 GB (11010 files)\"\n  ],\n  \"formats\": [\n    \".edf\",\n    \".json\",\n    \".md\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"b91ac2a543df608cfc14143a04d5806496e0e8399661f9dc3c85a2c48592e3ca\"\n}","last_activity_at":"2026-06-28 04:31:05","source":"openneuro","source_id":"ds005873","subject_count":125,"modalities":"eeg,emg","age_min":null,"age_max":null,"file_size":125851668630,"total_files":24878,"tasks":"szMonitoring","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Miguel Bhagubai, Christos Chatzichristos, Lauren Swinnen, Jaiver Macea, Jingwei Zhang, Lieven Lagae, Katrien Jansen, Andreas Schulze-Bonhage, Francisco Sales, Benno Mahler, Yvonne Weber, Wim Van Paesschen, Maarten De Vos  ","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005873-blue)](https://doi.org/10.82901/nemar.on005873)\n\n# README\n\nThis dataset is a BIDS compatible version of the SeizeIT2 dataset. It reorganizes the file structure to comply with the BIDS specification. To this effect:\n\n- Metadata was organized according to BIDS.\n- Data in the edf files contains wearable EEG, ECG, EMG and movement data recorded with the Sensor Dot device.\n- Annotations were formatted as BIDS-score compatible `tsv` files.\n\n### Contact person\n\nThe dataset was published by [Miguel Bhagubai](miguel.bhagubai@esat.kuleuven.be) and [Christos Chatzichristos](christos.chatzichristos@kuleuven.be).\n\n## Overview\n\n### Project name\n\nSeizeIT2 Dataset\n\n### Year that the project ran\n\n2024\n\n### Description of the dataset\n\nThe SeizeIT2 project (clinicaltrials.gov: NCT04284072), a multicenter, prospective study, was carried out to validate the Sensor Dot device in adult and pediatric patients with epilepsy. Participants were included if they had a history of refractory epilepsy and were admitted to the Epilepsy Monitoring Unit (EMU) for long-term vEEG monitoring as a presurgical evaluation procedure. The exclusion criteria included patients with skin conditions or allergies that prevented the placement of the electrodes and adhesives or had implanted devices, such as neurostimulators or pacemakers. All participants provided written informed consent. The data collection started on January 10, 2020, and ended on June 30, 2022. The study was approved by the UZ Leuven ethics committee (approval ID: S63631, ClinicalTrials.gov, NCT04284072), anonymization and sharing of the data was also approved by the same committee (S67350 - amendment 1).\n\nThe dataset comprises 125 patients (51 female, 41\\%) from 5 different European EMUs: University Hospital Leuven (Belgium), Freiburg University Medical Center (Germany), RWTH University of Aachen (Germany), Karolinska University Hospital (Sweden) and Coimbra University Hospital (Portugal). The University Hospital Leuven was the only center that enrolled pediatric patients. The dataset includes only data from patients with focal epilepsy who experienced one or more seizure episodes during the monitoring period.\n\n## Methods\n\nThe participants were recorded with the specific center's vEEG monitoring equipment, where the EEG electrodes were placed according to the 10-20 system or the 25-electrode array of the International Federation of Clinical Neurophysiology. The SD device was used to record wearable data simultaneously with the vEEG. The device has a size of 24.5 x 33.5 x 7.73 mm and weighs approximately 6.3 grams. The wearable device measures data at a sampling frequency of 250 Hz and has a battery life of approximately 24 hours. Two recording devices were used: one placed in the patient's upper back using a patch and connected to electrodes attached behind the ear, on the mastoid bone (EEG SD); another placed on the left side of the chest, with two electrodes extended to the lower left rib cage and the fourth intercostal space in the left parasternal position to measure ECG, and two electrodes extended to the left deltoid muscle to measure EMG data (ECG/EMG SD). The module itself contains accelerometers (ACC) and gyroscopes (GYR), which measured movement data at a sampling rate of 25 Hz.\nThe EEG SD electrode placement depended on the patient's medical history and is based on the seizure type and onset. When the seizures were suspected to originate from the left hemisphere, two electrodes were placed on the left side and one on the right side, forming one left same-side channel and one cross-head channel. Analogously, if seizures were suspected to originate from the right hemisphere, the same-side channel was derived from two electrodes placed behind the right ear. The dataset includes patients who were suspected to have generalized seizures (but had focal seizures) as well, and in this case, the cross-head channel was non-existent and replaced by an additional lateral channel by using two electrodes on each ear.\n\n### Dataset contents\nThe complete dataset contains around 11 640 hours of wearable data. Four different modalities were recorded for most participants: bte-EEG, ECG, EMG and movement data. All participants' data within the dataset contain wearable bte-EEG. In 3\\% of the dataset, ECG, EMG and movement data were not included due to technical failures or errors in the setup. In total, 886 focal seizures were recorded with the wearable device. The mean duration of the recorded seizures was 58 seconds, ranging between 3 seconds and 16 minutes. The majority of the seizures were focal aware (FA) and focal impaired awareness (FIA), with 317 and 393 occurrences, respectively. From the remaining seizures, 55 were focal-to-bilateral tonic clinic (FBTC), 12 were focal with unclear awareness status, 2 were subclinical focal seizures and 93 had unknown or unreported onset. There was a predominance of seizures with onset on the left hemisphere (44\\%). In 12\\% of the seizures, the onset was located in the right hemisphere, 1\\% had a bilateral onset and in 43\\% of the seizures the onset was unclear. Regarding localization, the seizure onsets were distributed over the central, frontal, temporal, occipital, parietal and insula lobes, with a predominance of temporal lobe seizures (30\\%). Several seizures recorded could not be paired with a clear onset lobe (26\\%).","bids_version":"1.8.0","sessions_count":1,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-26 13:26:58","zarr_store_count":10944,"zarr_index_etag":"ed16df66e1f610cb7b757dda937fffd6","zarr_source_commit":"29f23eec263220e17d7cb4aedc14c31396cf0ae0","archive_status":null,"archive_size":null,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":"dataset 117.2 GB exceeds 100.0 GB archive limit; use direct download","zarr_errors":65,"zarr_failure_count":65,"zarr_deterministic":0,"zarr_failed_at":"2026-08-26 13:26:58","num_dataset_citations":3,"num_datapaper_citations":0,"n_channels":2,"electrode_system":null,"has_hed":0,"hed_version":"score_1.1.0","is_exemplar":0,"bytes_present":125844870214,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":0,"total_recording_duration":158247419,"recording_duration_min":181,"recording_duration_max":87192,"recording_count":11009,"recordings_unavailable":65,"recordings_measured":10944,"channel_count_min":1,"channel_count_max":6,"sampling_frequency":256,"power_line_frequency":null,"eeg_reference":null,"placement_scheme":"behind-the-ear","sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-19 01:07:56\",\"metadata_updated_at\":\"2026-08-19 01:08:19\",\"archive_checked_at\":\"2026-06-28 04:59:07\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-28 05:02:54\",\"citations_updated_at\":\"2026-09-08 03:00:51\",\"channel_montage_checked_at\":\"2026-06-28 23:51:45\",\"hed_checked_at\":\"2026-06-30 05:25:39\",\"data_checked_at\":\"2026-08-24 03:00:29\",\"availability_report_at\":\"2026-07-23 01:27:33\",\"recording_stats_at\":\"2026-09-02 11:33:31\",\"signal_defaults_at\":\"2026-09-02 12:41:36\"}","participants":125,"num_citations":3,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"117 GB","zarr_data_failures":{"count":65,"detail_ref":"zarr/index.json","compacted_by":"migration_0074"},"zarr_index_url":"https://zarr.nemar.org/on005873/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}}