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81 results for “electroencephalography”
SignEEG v1.0 : Multimodal Electroencephalography and Signature Database for Biometric Systems
<p>Noninvasive electroencephalography (EEG) is a method for measuring electrical brain activity from the surface of the scalp. Recent developments in artificial intelligence accelerate the automatic recognition of brain patterns, allowing more reliable and increasingly faster Brain-Computer interfaces, including biometric applications. Biometric research is also focusing on multimodal systems using EEG along with other modalities. This paper presents a new multimodal SignEEG v1.0 dataset based on EEG and hand-drawn signatures from 70 subjects. EEG signals and hand-drawn signatures have been collected with Emotiv Insight and Wacom One sensors, respectively. The multimodal data consists of three paradigms with increasing brain functioning: (i) visualizing a signature image, (ii) doing a signature in mind, and (iii) physically drawing a signature. Extensive experiments have been done in order to provide a solid baseline with machine learning classifiers. We release the raw, pre-processed data and easy-to-follow implementation details.</p>
I-CARE: International Cardiac Arrest REsearch consortium electroencephalography database - Brain Continuity Index
Open the record for dataset details and reuse information.
Evidence of Emotion-Antecedent Appraisal Checks in Electroencephalography and Facial Electromyography
<p>Data from study published in Plos One</p>
Data from: Electroencephalography Responses to Simplified Visual Signals Reveal Explain Differences in Speech-in-Noise Comprehension
<p>Contents and Folder Structure:</p> <p><strong>EEG Experiment</strong></p> <ul> <li><strong>EEG_stimuli</strong>: these are the videos that were presented to participants in the EEG experiment, and the code that generates them from the original corpus (link)</li> <li><strong>data_2020>split_trials</strong>: contains the raw EEG data starting 1.995s before each trial and ending 1.995s after each trial with naming convention subXx_VV_YY_N.fif where X or Xx is the subject number, YY is the modality condition (AV for audiovisual and V0 for video only), N is the trial number (between 0 and 4 inclusive), and VV is the video condition (1e for the envelope dot, 1m is the mismatched dot, 4v is the cartoon, bw is the edge detection and nh is the natural condition). <ul> <li><strong>unprocessed>raw</strong>: contains the unprocessed raw EEG data <ul> <li><strong>processed>Fs-200>BP-1-80-ASR-INTP-AVR</strong>: contains the pre-processed raw EEG data: the output of <em>run_preprocessing.m</em></li> <li><strong>processed>Fs-200>BP-1-80-ASR-INTP-AVR-ICr</strong>: contains the pre-processed raw EEG data after ICA cleaning: the output of <em>run_reject_ICs.m</em></li> <li><strong>stim>stim_dwnspl</strong>: contains the aligned 200Hz envelopes of the presented speech used as features for the time-lagged models</li> </ul> </li> </ul> </li> <li><strong>EEG_analysis_code </strong>[note: please extract the contents of this folder to match paths] <ul> <li><strong>2_ICA_filt:</strong> this folder contains the MATLAB code that performs the pre-processing of the EEG data, including filtering, downsampling, ICA cleaning etc. The main functions are: <ul> <li><em>run_preprocessing.m: downsampling, filtering, ASR cleaning</em></li> <li><em>run_reject_ICs.m: ICLabel ICA cleaning</em></li> </ul> </li> <li><strong>3_analysis:</strong> this is the Python code that performs the TRF and backward modelling on the EEG data. The main functions are: <ul> <li><em>multisensory_bw.py</em>: backwards model</li> <li><em>multisensory_fw.py</em>: forwards model</li> </ul> </li> </ul> </li> </ul> <p><strong>Behavioural Experiment</strong></p> <ul> <li><strong>behavioural</strong> <ul> <li><strong>0_dataset</strong>: these are the videos that were presented to participants in the behavioural experiment, and the code that generates them from the original corpus (AV GRID corpus)</li> <li><strong>3_analysis</strong>: behavioural data analysis script <ul> <li>main function: <em>data_grid_v3.py</em></li> </ul> </li> </ul> </li> <li><strong>behavioural_data>data_grid</strong>: behavioural results </li> </ul>
Electroencephalography Guidance of Anesthesia
ClinicalTrials.gov study NCT02241655. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Electroencephalography of completely locked-in state patients with amyotrophic lateral sclerosis
<p>The data set includes raw EEG data for 10 completely locked-in state (CLIS) patients with amyotrophic lateral sclerosis (ALS) and 6 healthy participants. The EEG data were recorded during resting state and the reference was right mastoid. This data was used in the publication https://doi.org/10.1016/j.neures.2020.01.013.</p>
Electroencephalography dataset from a visual-scene and auditory-linguistic N400 study
<p>Forty participants were presented with auditory-linguistic, as well as visual-scene semantic inconsistencies within the same experiment.</p> <p>This dataset includes raw data, epoched data, as well as ICA and event objects.</p> <p>More information as well as the analysis code can be found in the related repository: https://github.com/DejanDraschkow/n3n4. </p>
Correlation Between New O3 Regional Oximetry, Electroencephalography and the Somatosensory Evoked Potential in Carotid Endarterectomy Surgery
ClinicalTrials.gov study NCT05267782. IPD Sharing: NO. Countries: 1. Publications: 4.
Clinical Testing of Invasive Spinal Cord Stimulation and Evaluation of Its Physiological Effects Using the Electroencephalography
ClinicalTrials.gov study NCT06725836. IPD Sharing: NO. Countries: 1. Publications: 4.
Heart Rate Variability and Electroencephalography Analysis in Laparoscopic Surgery With or Without Transversus Abdominis Plane Block
ClinicalTrials.gov study NCT04539080. IPD Sharing: NO. Countries: 1. Publications: 1.
Electroencephalography Activity in Individuals With Nonspecific Chronic Low Back Pain After Cranial Osteopathic Manipulative Treatment
ClinicalTrials.gov study NCT02111382. IPD Sharing: Not stated. Countries: 1. Publications: 11.
Sedation to Electroencephalography With Dexmedetomidine or Chloral Hydrate
ClinicalTrials.gov study NCT01083797. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Putting Electroencephalography (EEG) in the Emergency Department
ClinicalTrials.gov study NCT01355211. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Project Attention Deficit Hyperactivity Disorder (ADHD) and Electroencephalography (EEG)-Neurofeedback THERapy
ClinicalTrials.gov study NCT00723684. IPD Sharing: Not stated. Countries: 1. Publications: 2.
The Role of Electroencephalography in Caffeine Discontinuation Timing in Premature Infants
ClinicalTrials.gov study NCT07324941. IPD Sharing: NO. Countries: 1. Publications: 19.
The Effect of Child Position on the Results of Hyperventilation During Routine Electroencephalography
ClinicalTrials.gov study NCT02851199. IPD Sharing: YES. Countries: 1. Publications: 3.
Putting Electroencephalography (EEG) in the Emergency Department
ClinicalTrials.gov study NCT01671475. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Role of Cognitive Function and Electroencephalography on Acute and Chronic Pain After Surgery
ClinicalTrials.gov study NCT03761576. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Effects of Perampanel on Cognition and Electroencephalography in Patients With Epilepsy
ClinicalTrials.gov study NCT02900755. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Use of the SNAP II Electroencephalography (EEG) Monitor in Outpatients Undergoing Surgery/Procedures With Sedation
ClinicalTrials.gov study NCT00204711. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.