Wearable Device Data-Based Unsupervised Sleep-Wake Identification
This package applies a Hidden Markov Model (HMM) based algorithm for Sleep/Wake Identification using actigraphy. The accelerometer data should be in the summary activity count format, such as activity counts every thirty seconds.
Wearable Device Data Visualization and Circadian Rhythm Analysis
This package implements the Penalized Multi-Band Learning(PML) algorithm for circadian rhythm analysis and daily activity pattern characterization using actigraphy. This package also includes functions for building interactive visualization tools.