I-CARE: International Cardiac Arrest REsearch consortium electroencephalography database - Brain Continuity Index
Data files
Nov 22, 2024 version files 52.02 MB
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BCI_Features_for_all_train_ICARE_Subjects_.mat
51.87 MB
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icare_BCI
143.98 KB
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README.md
3.32 KB
Abstract
The International Cardiac Arrest REsearch consortium (I-CARE) database includes baseline clinical information and continuous electroencephalography (EEG) recordings from 1,020 comatose patients with a diagnosis of cardiac arrest who were admitted to an intensive care unit from seven academic hospitals in the U.S. and Europe. Patients were monitored with 18 bipolar EEG channels over hours to days for the diagnosis of seizures and for neurological prognostication. Long-term neurological function was determined using the Cerebral Performance Category scale.
README: I-CARE: International Cardiac Arrest REsearch consortium Electroencephalography Database - Brain COntinuity Index
https://doi.org/10.5061/dryad.2fqz612zv
When using this resource, please cite: https://bdsp.io/content/bdsp-icare/1.0/
Amorim, E., Zheng, W., Ghassemi, M., Aghaeeaval, M., Kandhare, P., Karukonda, V., Lee, J. W., Herman, S., sivaraju, a., Gaspard, N., Hofmeijer, J., van Putten, M. J., Sameni, R., Reyna, M., Clifford, G., & Westover, M. B. (2023). I-CARE: International Cardiac Arrest Research Consortium Electroencephalography Database (version 1.0). Brain Data Science Platform. https://doi.org/10.60508/xwye-v214.
Additionally, please cite the original publication:
Amorim E, Zheng WL, Ghassemi MM, Aghaeeaval A, Kandhare P, Karukonda V, Lee JW, Herman ST, Sivaraju A, Nicolas Gaspard N, Hofmeijer J, van Putten MJAM, Sameni R, Reyna MA, Clifford GD, Westover MB. The International Cardiac Arrest Research (I-CARE) Consortium Electroencephalography Database. Critical Care Medicine (in print); doi: https://doi.org/10.1097/CCM.0000000000006074.
Description of the data and file structure
I-CARE: International Cardiac Arrest REsearch consortium Electroencephalography Database
Refer to the full repository for the raw EEG data and a detailed explanation of the subjects and data:
https://doi.org/10.60508/xwye-v214
The data (BCI_Features_for_all_train_ICARE_Subjects*.mat) *posted here includes the brain continuity index (BCI) with 10-second resolution. The BCI value ranges from zero (fully suppressed) to 1 (continuous).
The icare_BCI file is screenshot representing the number of rows in the .mat file.
There are 3,440 rows corresponding to the 1,020 subjects and all the individual files. The first column has the subject ID and the file number (consecutive). The second column indicates the time elapsed since the time of return of spontaneous circulation. The third column includes the BCI values, which is organized in consecutive 10 seconds chunks.
Access information
Other publicly accessible locations of the data:
Data was derived from the following sources:
- The database originates from seven academic hospitals in the U.S. and Europe led by investigators part of the International Cardiac Arrest REsearch consortium (I-CARE).
- Rijnstate Hospital, Arnhem, The Netherlands (Jeannette Hofmeijer).
- Medisch Spectrum Twente, Enschede, The Netherlands (Barry J. Ruijter, Marleen C. Tjepkema-Cloostermans, Michel J. A. M. van Putten).
- Erasme Hospital, Brussels, Belgium (Nicolas Gaspard).
- Massachusetts General Hospital, Boston, Massachusetts, USA (Edilberto Amorim, Wei-Long Zheng, Mohammad Ghassemi, and M. Brandon Westover).
- Brigham and Women’s Hospital, Boston, Massachusetts, USA (Jong Woo Lee).
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA (Susan T. Herman).
- Yale New Haven Hospital, New Haven, Connecticut, USA (Adithya Sivaraju).
Methods
Full details available in this repository: Amorim, E., Zheng, W., Ghassemi, M., Aghaeeaval, M., Kandhare, P., Karukonda, V., Lee, J. W., Herman, S., sivaraju, a., Gaspard, N., Hofmeijer, J., van Putten, M. J., Sameni, R., Reyna, M., Clifford, G., & Westover, M. B. (2023). I-CARE: International Cardiac Arrest REsearch consortium Electroencephalography Database (version 1.0). Brain Data Science Platform. https://doi.org/10.60508/xwye-v214.