Resources


Database Open Access

Minute level step counts and physical activity data from the National Health and Nutrition Examination Survey (NHANES) 2011-2014

Lily Koffman, John Muschelli

Minute level step counts obtained from five step counting algorithms for raw accelerometry data, and minute level Activity Counts, MIMS, wear predictions, and wear flags for all participants who wore accelerometers in NHANES 2011-2014.

accelerometry physical activity nhanes steps

Published: Jan. 28, 2025. Version: 1.0.0

Database Open Access

Minute level step counts and physical activity data from the National Health and Nutrition Examination Survey (NHANES) 2011-2014

Lily Koffman, John Muschelli

Minute level step counts obtained from five step counting algorithms for raw accelerometry data, and minute level Activity Counts, MIMS, wear predictions, and wear flags for all participants who wore accelerometers in NHANES 2011-2014.

accelerometry physical activity nhanes steps

Published: Jan. 28, 2025. Version: 1.0.0

Database Restricted Access

BigIdeasLab_STEP: Heart rate measurements captured by smartwatches for differing skin tones

Brinnae Bent, Jessilyn Dunn

Comparison of HR values reported by ECG (Bittium Faros) and wearables including Biovotion Everion, Empatica E4, Apple Watch, Garmin, Fitbit, and Xiaomi Miband.

wearables heart rate

Published: Feb. 10, 2021. Version: 1.0

Database Open Access

PADS - Parkinsons Disease Smartwatch dataset

Julian Varghese, Alexander Brenner, Lucas Plagwitz, Catharina van Alen, Michael Fujarski, Tobias Warnecke

The PADS dataset contains smartwatch-based records from interactive neurological assessments of Parkinsons disease patients, differential diagnoses and healthy controls. The data is complemented with non-motor symptoms and medical history information

wearables movement disorders parkinsons disease

Published: March 25, 2024. Version: 1.0.0

Database Credentialed Access

CovIdentify Dataset

Peter Cho, Md Mobashir Hasan Shandhi, Ali Roghanizad, Jessilyn Dunn

This contains wearable device data from Fitbit, Garmin, and Apple Watch users. The data is from April 2nd, 2020 to March 21st, 2021 and has been date-shifted. An appropriate amount has also shifted test dates for each user.

Published: Nov. 25, 2024. Version: 1.0.0

Database Credentialed Access

RaDialog Instruct Dataset

Chantal Pellegrini, Ege Özsoy, Benjamin Busam, Nassir Navab, Matthias Keicher

Image-based instruct data for Chest X-Ray understanding and analysis.

medical image understaning radiology chatbot radiology report generation radiology assistant large vision-language models

Published: July 12, 2024. Version: 1.1.0

Model Credentialed Access

Characterization of Stigmatizing Language in Medical Records

Keith Harrigian, Ayah Zirikly, Brant Chee, Alya Ahmad, Anne Links, Somnath Saha, Mary Catherine Beach, Mark Dredze

A suite of classifiers for detecting three types of stigmatizing language in electronic medical records. Trained on MIMIC-IV discharge notes.

clinical natural language processing domain transfer bias stigmatizing language large language models mimic

Published: Nov. 6, 2023. Version: 1.0.0

Software Open Access

Heart Vector Origin Point Detection and Time-Coherent Median Beat Construction

Erick Andres Perez Alday, Larisa Tereshchenko

The algorithm finds the heart vector origin point and constructs the time-coherent median beat. VCG origin point is defined as the electrically quiet or isoelectric state of the heart when the heart vector does not move in 3D space.

baseline vectorcardiogram origin point heart vector signal processing electrocardiogram

Published: May 25, 2021. Version: 1.0.0

Database Credentialed Access

MIMIC-III and eICU-CRD: Feature Representation by FIDDLE Preprocessing

Shengpu Tang, Parmida Davarmanesh, Yanmeng Song, Danai Koutra, Michael Sjoding, Jenna Wiens

Features and labels from MIMIC-III and eICU-CRD produced by FIDDLE, an EHR preprocessing pipeline.

preprocessing electronic health record machine learning

Published: April 28, 2021. Version: 1.0.0

Software Open Access

R-DECO: An open-source Matlab based graphical user interface for the detection and correction of R-peaks

Jonathan Moeyersons, Matthew Amoni, Sabine Van Huffel, Rik Willems, Carolina Varon

An open-source Matlab based graphical user interface for the detection and correction of R-peaks.

algorithms and analysis of algorithms signal processiong visual analysis graphical user interface

Published: Sept. 8, 2020. Version: 1.0.0