Resources


Database Restricted Access

The Boston Childrens Hospital Sleep Corpus

Ayush Tripathi, Wolfgang Ganglberger, Haoqi Sun, Callison Alcott, Niels Turley, Rebecca Fitzgerald, Ayan Mitra, Samuel Waters, Arnav Gupta, Aditya Gupta, Manohar Ghanta, Valdery Moura Junior, Samaneh Nasiri, Bruce Nearing, Katie Stone, Emmanuel Mignot, Dennis Hwang, Matthew Reyna, Zuzana Koscova, Chad Robichaux, Zhiyong Zhang, Qiao Li, Gauri Ganjoo, Lynn Marie Trotti, Gari Clifford, Christine Tsien Silvers, Bharath Gunapati, Robert Thomas, M Brandon Westover, Kiran Maski, Umakanth Katwa

The Boston Children’s Hospital (BCH) Sleep Corpus comprises 15,695 fully annotated pediatric polysomnography (PSG) recordings collected between 2010 and 2024.

Published: Aug. 6, 2025. Version: 1.0.1

Database Restricted Access

Cerebrospinal Fluid Testing for Neuroinvasive West Nile Virus and Measures to Improve Guideline Adherence

Carson Quinn, Karan Singh, Erik Klontz, Isaac Solomon, Shibani Mukerji

De-identified, dataset of 1,304 adult encounters with CSF-fluid West Nile virus testing patterns at two Mass General Brigham hospitals (2016-2023). Includes demographics, immune status, CSF/serum labs, WNV PCR & IgM results, guideline-adherence flags

Published: July 31, 2025. Version: 1.0.0

Database Credentialed Access

Harvard-Emory ECG Database

Zuzana Koscova, Valdery Moura Junior, Matthew Reyna, Shenda Hong, Aditya Gupta, Manohar Ghanta, Reza Sameni, Aaron Aguirre, Qiao Li, Sahar Zafar, Gari Clifford, M Brandon Westover

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

Published: July 28, 2025. Version: 4.0

Database Credentialed Access

Identification of patients with epilepsy using automated electronic health records phenotyping - Data and Code

Marta Fernandes, Sahar Zafar, M Brandon Westover

Code and data for identifying patients with epilepsy using automated electronic health records.

ehr epilepsy nlp

Published: June 5, 2025. Version: 1.0

Database Credentialed Access

Automated phenotyping of mild cognitive impairment and dementias using electronic health records - Data and Code

Ruoqi Wei, Robert Thomas, M Brandon Westover, Haoqi Sun

Data and Code to reproduce results in "Automated phenotyping of mild cognitive impairment and dementias using electronic health records"

ad mci nlp

Published: June 5, 2025. Version: 1.0

Database Restricted Access

NIDX: A Machine Learning Approach for Identifying People with Neuroinfectious Diseases in Electronic Health Records

Arjun Singh, Shadi Sartipi, Haoqi Sun, Niels Turley, Sahar Zafar, Sudeshna Das, Marta Fernandes, M Brandon Westover, Shibani Mukerji

A machine learning approach to accurately identify neuroinfectious diseases from clinical notes.

electronic health records ehr phenotyping natural language processing neuroinfectious diseases

Published: May 31, 2025. Version: 1.0

Database Restricted Access

SpikeNet 2.0

Jun Li, Daniel Goldenholz, Shenda Hong, Chenxi Sun, Jin Jing, M Brandon Westover

An expert-level deep learning model for detecting epileptiform discharges in EEG recordings at both event and whole-EEG levels.

Published: April 30, 2025. Version: 1.0

Database Restricted Access

Quantifying Loop Gain using Dynamical Modelling of Ventilatory Control - Data and Code

Thijs Nassi, Yalda Amidi, M Brandon Westover, Robert Thomas

Automated method for quantifying Loop Gain from respiratory signals.

Published: April 24, 2025. Version: 2.0

Database Restricted Access

Ordinal Sleep Depth - Data and Code

Erik-Jan Meulenbrugge, Haoqi Sun, Wolfgang Ganglberger, Samaneh Nasiri, Robert Thomas, M Brandon Westover

Data and code for "Ordinal Sleep Depth: A Data-Driven Continuous Measurement of Sleep Depth"

Published: April 24, 2025. Version: 1.0

Database Restricted Access

Automated EEG-based prediction of delayed cerebral ischemia after subarachnoid hemorrhage

Zhongwei Jin, Wei-Long Zheng, M Brandon Westover, Jennifer Kim

Data and code to reproduce this paper: https://pmc.ncbi.nlm.nih.gov/articles/PMC9847346/

Published: April 4, 2025. Version: 1.0