Mobile Health Datasets

The MiPACT Study investigates the relationship between disease, daily quality of life, and healthcare services. 

Technologies used: Apple Watch, blood pressure cuffs

Data Available: 

• Activity goals: steps taken and distances, calories burned
• Vitals: blood pressure, heart rate, heart rate variability, respiratory rate
• Electronic health record data: diagnoses, procedures, labs
• Surveys: quality of life, behavioral measures, cognitive and physical function

Data can be accessed through DataDirect. 
 

The PROMPT Study aims to reduce the burden of depression by increasing capacity in the mental health care system through expanding the use of mobile technology-delivered interventions and accelerating recovery from mental illness by better matching patients to pharmacological, psychological, and mobile-based treatments. 

Technologies used: Apple Watch, FitBit

Data available: 

• Activity data
• Weight/BMI
• Heart rate
• Sleep
• Survey Reponses

Data can be accessed through DataDirect.

The Intern Health Study is a multi-center, multi-year study investigating the interplay between genes and stress in the development of depression among medical school interns. Data is available for 2014 through 2020, with increasing data points by year.

Technologies used: FitBit and survey data

Data available: Download Data Dictionary
 

The TamNet Data Repository was established by the Heinz C. Prechter Bipolar Research Program in October 2016 to safely store, process and distribute mobile or electronically captured health information, including anonymous speech data.

This repository is a vital component of the Prechter Program's mobile health research project, PRIORI, which is currently used in multiple studies at the University of Michigan and collaborating institutions.

The Prechter Bipolar Research Program is dedicated to sharing its rich data sets with fellow researchers. If you want to use this data in your research project, please contact the team for further information. 
 

The All of Us data set provides activity data for thousands of users.

Technology used: FitBit

Data available: 
●    Heart rate by zone summary
●    Heart rate (minute-level)
●    Activity (daily summary)
●    Activity intraday steps (minute-level)

Data available: Browse datasets