Brainwave Application | Predicting Neurological Recovery in Coma Patients

Brainwave is an application that uses patient's EEG data and predicts neurological recovery of a patient - a novel approach in predicting neurological recovery. Brainwave provides alternative to risky procedures involved in predicting neurological recovery of a comatose patient after cardiac arrest.

Brainwave's architecture is trained on I-CARE public dataset comprising of 607 patients and approximately 35 thousand hours of EEG signal recordings - largest dataset available.

Find related references here:
[1] Reyna, M. A., Amorim, E., Sameni, R., Weigle, J., Elola, A., Bahrami
Rad, A., Seyedi, S., Kwon, H., Zheng, W.-L., Ghassemi, M. M., van
Putten, M. J. A. M., Hofmeijer, J., Gaspard, N., Sivaraju, A., Herman,
S. T., Lee, J. W., Westover, M. B., Clifford, G. D. (2023). Predicting
Neurological Recovery from Coma After Cardiac Arrest: The George B.
Moody PhysioNet Challenge 2023. In Computing in Cardiology (Vol.
50, pp. 1–4). IEEE.
[2] Amorim, E., Zheng, W.-L., Ghassemi, M. M., Aghaeeaval, M.,
Kandhare, P., Karukonda, V., Lee, J. W., Herman, S. T., Sivaraju,
A., Gaspard, N., Hofmeijer, J., van Putten, M. J. A. M.,
Sameni, R., Reyna, M. A., Clifford, G. D., Westover, M. B.
(2023). The International Cardiac Arrest Research (I-CARE) Con-
sortium Electroencephalography Database. Critical Care Medicine.
https://doi.org/10.1097/CCM.0000000000006074
[3] Goldberger, A. L., Amaral, L. A. N., Glass, L., Hausdorff, J. M., Ivanov,
P. C., Mark, R. G., Mietus, J. E., Moody, G. B., Peng, C.-K., Stanley, H.
E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a
New Research Resource for Complex Physiologic Signals. Circulation,
101(23), e215–e220. https://doi.org/10.1161/01.CIR.101.23.e215

Видео Brainwave Application | Predicting Neurological Recovery in Coma Patients канала Abdulahad Qureshi