Wearable & Implantable Technologies
Wearable & Implantable Technologies at Johns Hopkins
We build open, reproducible tools that turn data from wearable and implantable technologies into useful measures for health research.
Learn with us
WearableR short course
Learn practical approaches for working with wearable-sensor data in R, from importing and organizing data to activity and sleep analyses.
About
The WIT (Wearable and Implantable Technologies) group at Johns Hopkins develops methods and open-source software for measuring health in the real world. We work across sensor data processing, activity and sleep measurement, mobility, cardiovascular and physiologic signals, and transparent statistical workflows. Our goal is to help researchers move from raw device data to interpretable, reproducible evidence.
Our public code includes reusable R and Python tools, teaching materials, and research software. Visit the About & projects page to explore featured projects and their live documentation sites.