Modules

Course Structure

This course covers the path from raw wrist-worn accelerometry to reproducible analysis: device and study design, reading and processing raw signals, activity metrics, analysis and summaries, and quality control. Throughout, it distinguishes observed data from inserted, filtered, resampled, or inferred values.

Slide Decks

Module	Main question	Teaching dataset
1. Accelerometer Devices and Studies	What do accelerometers measure, and how are wearable studies designed?	Raw device data and study examples
2. Reading and Processing Data	How do we read, inspect, calibrate, and process raw acceleration?	Raw time/x/y/z data
3. Activity Metrics	How do ENMO, MAD, MIMS, counts, and steps summarize movement?	Raw acceleration segment
4. Analysis and Summaries	How do we visualize, summarize, and model minute-level activity?	NHANES minute-level data
5. Future Directions	Future directions for actigraphy and the field
99. Reproducibility, QC, and Other Methods	How do we audit the pipeline and extend it to specialized methods?	Full example project