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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.
Tools for business process automation, robotic process automation (RPA), data integration, and data pipelines (ETL / ELT) at University of Michigan and Michigan Medicine.
A compilation of software tools used by MDEN mobile tech researchers for working with mobile data, including: wearable programming, mobile app development, data extraction, data analysis, data presentation and visualizations, and data pipelines.