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Activity Number: 62 - Large Population Physical Activity Studies Using Wearable Devices: Challenges and Future Directions
Type: Invited
Date/Time: Monday, August 9, 2021 : 10:00 AM to 11:50 AM
Sponsor: Section on Statistics in Epidemiology
Abstract #316695
Title: The Digital Biomarker Discovery Project: An Open Source Toolbox Biosignal Analysis
Author(s): Jessilyn Dunn* and Brinnae P Bent and Emilia Grzesiak and Chentian Jiang and Yuankai P Qi and Yihang P Jiang and Peter P Cho
Companies: Duke University and Duke University and Duke University and Duke University and Duke University and Duke University and Duke University
Keywords: Biomedical informatics; Wearable sensors; Digital Health; Mobile Health; Open source software

Digital health is rapidly expanding due to surging healthcare costs, deteriorating health outcomes, and the growing prevalence and accessibility of mobile health and wearable technologies. Data from mobile and wearable technologies can be transformed into digital biomarkers that act as indicators of health outcomes and can be used to diagnose and monitor a number of chronic diseases and conditions. The process of transforming data into digital biomarkers can be computationally expensive and evaluation methodology is poorly defined. Here, we provide a collaborative, standardized online space for digital biomarker development and validation through the open source The Digital Biomarker Discovery Project ( From accessing and preprocessing sensor data to development of statistical modeling, machine learning, and deep learning algorithms, the DBDP provides tools for each step of the digital biomarker discovery process. We envision the DBDP becoming a standard for the digital biomarker community and an epicenter of collaboration and exploration.

Authors who are presenting talks have a * after their name.

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