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@DepressionCenter

Eisenberg Family Depression Center Code

Open source code from EFDC and UMich researchers working to accelerate mental health discoveries thru mobile technologies and interdisciplinary collaborations.
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Eisenberg Family Depression Center Git Repositories

Accelerating innovations through code to improve mental health outcomes across our communities.


About

The Eisenberg Family Depression Center is devoted entirely to bringing depression into the mainstream of research, care, community education and public discourse. We are investing in high-impact research and evidence-based initiatives to progress our field forward. Our code repositories help us accelerate mental health discoveries by promoting interdisciplinary collaborations across research, reducing barriers to utilizing mobile technologies, and helping researchers solve common technology problems without re-inventing the wheel.

The Depression Center Code Repositories on GitHub feature code used in research, made available to the public through open source licenses. Our projects range from data cleaning automations, R analytical libraries, dashboard templates, to innovative solutions for research teams. These repos include code developed by us, by our partners, and by researchers throughout University of Michigan and Michigan Medicine.

Our repositories include:

Sleep Data Automation for Fitbit

Automated sleep data cleanup and processing to harmonize Fitbit data obtained via Fitabase with self-reported sleep diary entries sent via SMS messages.

MiNap

Code and documentation for Mi Nap sleep diary smartwatch app and related infrastructure, developed by the 2023 ITS intern cohort at the University of Michigan.

TrackMaster

Code and documentation for TrackMaster membership tracking tool and related infrastructure, developed by the 2023 ITS intern cohort at the University of Michigan.

MTC Internal Tools & Automation

Code for tools and automation used internally by the Mobile Technologies Core.

GitHub Usage Stats

Scripts to capture GitHub repository and usage statistics daily.

MTC SharePoint Site

Code used by the Mobile Technologies Core team's SharePoint site, including JSON/CSS for View Formatting.

Yawnalyzer

Automated data cleaning and sleep/gait metrics for Apple Watch data collected via SensorKit and ResearchKit.

AI Prompts Database

Real-world examples of UMGPT, Maizey and other AI prompts from the University of Michigan.

. . . And much more!

See all our repos.

Contact

Technical Contact

General Contact

Resources

Depression Center Website | GitHub | Knowledge Base | Depression Center's Video Library

© 2023 Regents of the University of Michigan

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  1. Data-and-Design-Core Data-and-Design-Core Public

    Code developed by the EFDC Data and Design Core team to support mental health research. [DOI: 10.5281/zenodo.15242758]

    Stata 2

  2. SleepDataAutomation SleepDataAutomation Public

    Automated sleep data cleanup and processing to harmonize Fitbit data obtained via Fitabase with self-reported sleep diary entries sent via SMS-to-Email. [10.6084/m9.figshare.25669173.v1]

    3

  3. EMA-CleanR EMA-CleanR Public

    Efficient pre-processing, cleaning, and visualization of Ecological Momentary Assessment (EMA) survey data in R to enable high-quality, real-time behavioral insights. [DOI: 10.5281/zenodo.17982075]

    HTML 4

  4. Yawnalyzer Yawnalyzer Public

    Automated data cleaning and sleep/gait metrics for Apple Watch data collected via SensorKit and ResearchKit.

    Python 2

  5. MTC-Internal-Tools-and-Automation MTC-Internal-Tools-and-Automation Public

    Code for tools and automation used internally by the Mobile Technologies Core.

    PHP 3

  6. mobile-tech-illustrations mobile-tech-illustrations Public

    Diagrams and 3D models showcasing mobile technologies devices used in research, such as wearables, nearables, intermittent wearables, and smartphone sensors. [DOI: 10.5281/zenodo.18165506]

    HTML 1

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