{"schema_version":"0.3.0","doc_type":"dataset","dataset_id":"nm000347","name":"Shi et al. 2025 — HEFMI-ICH: a hybrid EEG-fNIRS motor imagery dataset for brain-computer interface in intracerebral hemorrhage","description":"HEFMI-ICH is a hybrid EEG-fNIRS motor imagery dataset designed for brain-computer interface applications in intracerebral hemorrhage rehabilitation. The dataset comprises 37 participants (17 healthy controls and 20 ICH patients) performing 2-class hand motor imagery tasks (left and right hand grasping) across multiple sessions. With 32-channel EEG recordings at 256 Hz and 3,330 trials, this dataset supports the development and evaluation of BCI systems for clinical stroke rehabilitation.","source":"nemar","recording_modality":["EEG"],"bids_version":null,"license":"CC-BY-NC-ND-4.0","authors":[{"name":"Jian Shi","name_type":"Personal"},{"name":"Danyang Chen","name_type":"Personal"},{"name":"Xingwei Zhao","name_type":"Personal"},{"name":"Zhixian Zhao","name_type":"Personal"},{"name":"Shengjie Li","name_type":"Personal"},{"name":"Yeguang Xu","name_type":"Personal"},{"name":"Tao Ding","name_type":"Personal"},{"name":"Zheng Zhu","name_type":"Personal"},{"name":"Peng Zhang","name_type":"Personal"},{"name":"Qing Ye","name_type":"Personal"},{"name":"Yingxin Tang","name_type":"Personal"},{"name":"Ping Zhang","name_type":"Personal"},{"name":"Bo Tao","name_type":"Personal"},{"name":"Zhouping Tang","name_type":"Personal","orcid":"0000-0002-4153-8590"}],"keywords":[{"term":"EEG"},{"term":"motor imagery"},{"term":"Brain-Computer Interfaces","subject_scheme":"MeSH","value_uri":"http://id.nlm.nih.gov/mesh/D062207"},{"term":"intracerebral hemorrhage","subject_scheme":"MeSH","value_uri":"http://id.nlm.nih.gov/mesh/D006442"},{"term":"stroke rehabilitation","subject_scheme":"MeSH","value_uri":"http://id.nlm.nih.gov/mesh/D000071939"},{"term":"stroke"},{"term":"fNIRS"},{"term":"hybrid neuroimaging"},{"term":"neurorehabilitation"},{"term":"rehabilitation"}],"related_identifiers":[{"identifier":"10.1038/s41597-025-06100-7","identifier_type":"DOI","relation_type":"IsDerivedFrom"},{"identifier":"https://github.com/nemarDatasets/nm000347","identifier_type":"URL","relation_type":"IsDescribedBy"},{"identifier":"https://nemar.org/dataset/nm000347","identifier_type":"URL","relation_type":"IsDescribedBy"}],"contributors":[],"dates":[],"rights":[{"rights":"CC-BY-NC-ND-4.0","rights_uri":null,"rights_identifier":"CC-BY-NC-ND-4.0","rights_identifier_scheme":"SPDX"}],"language":null,"funding":[{"funder_name":"Not specified","award_number":null,"award_title":null,"funder_identifier":null,"funder_identifier_type":null,"award_uri":null}],"tasks":["imagery"],"datatypes":["eeg"],"sessions":["0","1","2","3","4","5"],"sessions_count":6,"demographics":{"subjects_count":37,"age_min":null,"age_max":null},"data_summary":{"total_files":1187,"size_bytes":6893790071,"size_human":"6.42 GB"},"provenance":{"latest_snapshot":"v1.0.3","publish_date":"2026-08-18 18:20:34"},"external_links":{"dataset_doi":"10.82901/nemar.nm000347","github_url":"https://github.com/nemarDatasets/nm000347"},"extensions":{"nemar":{"versions":[{"version":"v1.0.3","doi":"10.82901/nemar.nm000347.v1.0.3","created_at":"2026-08-18 18:20:34","manifest_url":"/nm000347/v1.0.3/manifest.json"},{"version":"v1.0.2","doi":"10.82901/nemar.nm000347.v1.0.2","created_at":"2026-08-14 13:52:53","manifest_url":"/nm000347/v1.0.2/manifest.json"},{"version":"v1.0.1","doi":"10.82901/nemar.nm000347.v1.0.1","created_at":"2026-06-03 13:20:01","manifest_url":"/nm000347/v1.0.1/manifest.json"}],"bids_index":{"version":"v1.0.3","subjects":{"sub-1":{"sessions":["0","1","2"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-10":{"sessions":["0","1"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-11":{"sessions":["0","1"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-12":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-13":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-14":{"sessions":["0","1","2","3","4","5"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-15":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-16":{"sessions":["0","1","2","3","4","5"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-17":{"sessions":["0","1"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-18":{"sessions":["0","1","2","3"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-19":{"sessions":["0","1"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-2":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-20":{"sessions":["0","1","2","3","4","5"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-21":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-22":{"sessions":["0","1"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-23":{"sessions":["0","1","2","3","4"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-24":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-25":{"sessions":["0","1"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-26":{"sessions":["0","1","2","3"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-27":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-28":{"sessions":["0","1","2"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-29":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-3":{"sessions":["0","1","2"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-30":{"sessions":["0","1"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-31":{"sessions":["0","1","2","3","4"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-32":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-33":{"sessions":["0","1","2"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-34":{"sessions":["0","1","2","3"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-35":{"sessions":["0","1","2"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-36":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-37":{"sessions":["0","1","2","3","4"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-4":{"sessions":["0","1","2","3","4"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-5":{"sessions":["0","1"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-6":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-7":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-8":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-9":{"sessions":["0","1","2","3"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}}}},"pipeline_stage":"enriched","data_complete":1,"bytes_present":6892873422}}}