Resources


Database Open Access

VE-CAM-S: Visual EEG-Based Grading of Delirium Severity and Associations with Clinical Outcomes

Ryan Tesh, Haoqi Sun, Jin Jing, Mike Westmeijer, Anudeepthi Neelagiri, Subapriya Rajan, Parimala Velpula Krishnamurthy, Pooja Sikka, Syed Quadri, Michael Leone, Luis Paixao, Ezhil Panneerselvam, Christine Eckhardt, Aaron F Struck, Peter Kaplan, Oluwaseun Akeju, Daniel Jones, Eyal Kimchi, M Brandon Westover

This dataset supports a published prospective cohort study using machine learning to develop the Visual EEG Confusion Assessment Method Severity (VE-CAM-S) scale for quantifying delirium and coma severity.

Published: Jan. 5, 2024. Version: 1.0

Database Restricted Access

Real-Time Segmentation of Burst Suppression Patterns in Critical Care EEG Monitoring

Mouhsin Shafi, Valdery Moura Junior, Aditya Gupta, Manohar Ghanta, M Brandon Westover

Data and code to automatically detect periods of suppression in critically ill ICU patients.

Published: Dec. 7, 2023. Version: 1.0

Database Open Access

The Human Burst Suppression Electroencephalogram of Deep Hypothermia

M Brandon Westover, Aditya Gupta, Manohar Ghanta, Valdery Moura Junior

Data and code to reproduce the results from "The human burst suppression electroencephalogram of deep hypothermia" investigating EEG changes and burst suppression during deep hypothermia.

Published: Nov. 29, 2023. Version: 1.0

Database Restricted Access

E-CAM-S: Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score

Meike van Sleuwen, Haoqi Sun, Christine Eckhardt, Anudeepthi Neelagiri, Ryan Tesh, Mike Westmeijer, Luis Paixao, Subapriya Rajan, Parimala Velpula Krishnamurthy, Pooja Sikka, Michael Leone, Ezhil Panneerselvam, Syed Quadri, Aditya Gupta, Manohar Ghanta, Valdery Moura Junior, Oluwaseun Akeju, Eyal Kimchi, M Brandon Westover

Data and code for quantifying delirium severity using EEG signals, from van Sleuwen et al. 2022, "The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S)."

Published: Nov. 13, 2023. Version: 1.0

Database Restricted Access

Harvard Electroencephalography Database

Sahar Zafar, Tobias Loddenkemper, Jong Woo Lee, Andrew Cole, Daniel Goldenholz, Jurriaan Peters, Alice Lam, Edilberto Amorim, Catherine Chu, Sydney Cash, Valdery Moura Junior, Aditya Gupta, Manohar Ghanta, Marta Fernandes, Haoqi Sun, Jin Jing, M Brandon Westover

Harvard Electroencephalography Database

electroencephalography icu eeg epilepsy eeg routine eeg epilepsy monitoring unit

Published: Nov. 7, 2023. Version: 2.0

Database Restricted Access

The Human Sleep Project

M Brandon Westover, Valdery Moura Junior, Robert Thomas, Sydney Cash, Samaneh Nasiri, Haoqi Sun, Aditya Gupta, Jonathan Rosand, Manohar Ghanta, Wolfgang Ganglberger, Umakanth Katwa, Katie Stone, Zhiyong Zhang, Gauri Ganjoo, Thijs E Nassi PhD Candidate, Ruoqi Wei, Dennis Hwang, Lynn Marie Trotti, Ankit Parekh, ErikJan Meulenbrugge, Emmanuel Mignot, Rhoda Au, Gari Clifford, David Rapoport

The Human Sleep Project (HSP) is a large collection of clinical sleep physiology recordings created to enable brain health research.

sleep brain health artificial intelligence

Published: Nov. 1, 2023. Version: 2.0

Database Restricted Access

I-CARE: International Cardiac Arrest REsearch consortium Electroencephalography Database

Edilberto Amorim, Wei-Long Zheng, Mohammad Ghassemi, Mahsa Aghaeeaval, Pravinkumar Kandhare, Vishnu Karukonda, Jong Woo Lee, Susan Herman, adithya sivaraju, Nicolas Gaspard, Jeannette Hofmeijer, Michel JAM van Putten, Reza Sameni, Matthew Reyna, Gari Clifford, M Brandon Westover

Multicenter clinical and EEG Database including patients who were comatose after cardiac arrest. This database includes 1,020 patients and more than 50,000 hours of continuous EEG from 7 hospitals in the U.S. and Europe.

Published: Oct. 11, 2023. Version: 1.0

Database Credentialed Access

Harvard-Emory ECG Database

Valdery Moura Junior, Matthew Reyna, Shenda Hong, Aditya Gupta, Manohar Ghanta, Reza Sameni, Jonathan Rosand, Aaron Aguirre, Qiao Li, Gari Clifford, M Brandon Westover

The Harvard ECG database (HEEDB) is a large collection of 12-lead electrocardiography (ECG) recordings.

Published: Sept. 8, 2023. Version: 1.0

Database Restricted Access

SPaRCNet data: Seizures, Rhythmic and Periodic Patterns in ICU Electroencephalography

Jin Jing, Wendong Ge, Aaron F Struck, Marta Fernandes, Shenda Hong, Sungtae An, Safoora Fatima, Aline Kherlopian, Ioannis Karakis, Jonathan Halford, Marcus Ng, Emily Johnson, Brian Appavu, rani sarkis, Gamaleldin Osman, Peter Kaplan, Monica Dhakar, Lakshman Arcot Jayagopal, Zubeda Sheikh, Olga Taraschenko, Sarah Schmitt, Hiba Haider, Jennifer Kim, Christa Swisher, Nicolas Gaspard, Mackenzie Cervenka, Jong Woo Lee, Andres rodriguez, Mohammad Tabaeizadeh, emily gilmore, Kristy Nordstrom, Jiyeoun Yoo, Manisha Holmes, Susan Herman, Jennifer Williams, Jay Pathmanathan, Fabio Nascimento, Ziwei Fan, Samaneh Nasiri, Mouhsin Shafi, Sydney Cash, Daniel Hoch, Andrew Cole, Zhen Lin, Chaoqi Yang, Manohar Ghanta, Aditya Gupta, Valdery Moura Junior, Eric Rosenthal, Sahar Zafar, M Brandon Westover, Jimeng Sun

"Interrater Reliability of Expert Electroencephalographers Identifying Seizures and Rhythmic and Periodic Patterns in EEGs" and "Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG Interpretation"

seizures icu rhythmic and periodic patterns artificial intelligence eeg

Published: May 5, 2023. Version: 1.1