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This REDCap project is used in the Morning Light Stress Study, whose principal investigator is Dr. Helen Burgess, Ph.D. The project consists of over 50 forms and surveys with 1,257 questions that cover eConsent, demographics, medical history, mental health instruments, and satisfaction surveys.

This article summarizes how to hide the sleep tile within the Fitbit app.

Overview of the Sleep Data Automation code, a project developed by the Mobile Technologies Core and the Sleep & Circadian Rhythm Laboratory to automate the process of cleaning sleep data from Fitbit fitness trackers and comparing or joining it to self-reported sleep diary data.

MDEN members routinely host presentations about mobile data and tools. These are the recordings available from the 2022-2023 academic year.

Sleep estimation is a near ubiquitous feature of smart watches and fitness trackers; therefore, sleep parameters have become desirable to include in research as both predictor variables or outcomes. However, not all sleep parameters provided by wearable sleep trackers are considered reliable for the purpose of research and appropriate selection and calculation of aggregate sleep values are required for hypothesis generation and testing.

This article walks through the MiNap application ecosystem, specifically the two front-end apps and researcher's dashboard.

How do you record naps in an Apple watch? Possible solutions to Apple Watch not tracking sleep outside of a sleep schedule.

DIGIT-MI recordings from the 2022-2023 academic year. DIGIT-MI monthly meetings allow investigators across the University of Michigan to connect, learn, and share resources that encourage the increased use of digital and mobile technologies and mental wellness in research across multiple disciplines.