pyActigraphy

pyActigraphy provides visualization and analysis of actigraphy data to quantify rest-activity rhythms and detect sleep for circadian rhythm and sleep research.

Key Features:

• Data Visualization: Visualizes rest-activity patterns and sleep-wake cycles from actigraphy recordings.
• Multiple Sleep Detection Algorithms: Includes a variety of automated algorithms to detect sleep periods from actigraphy data.
• Rest-Activity Rhythm Variables Quantification: Computes quantitative rest-activity rhythm metrics for circadian analysis.
• Support for Multiple Data Formats: Reads and processes multiple actigraphy data formats to support data from different devices.
• Advanced Signal Processing Analyses: Performs advanced signal-processing analyses on actigraphy time series.
• Sleep Agenda Visualization: Generates visualizations of sleep agendas and longitudinal sleep-wake schedules.

Scientific Applications:

• Circadian Rhythm Analysis: Quantification and analysis of circadian rest-activity patterns.
• Sleep Research: Automated detection and characterization of sleep timing, duration, and fragmentation.
• Population-based and Epidemiological Studies: Analysis of large datasets to study population-level rest-activity patterns.
• Clinical Assessments: Support for longitudinal assessment of sleep-wake behavior in clinical research contexts.

Methodology:

Implements multiple automated sleep-detection algorithms and advanced signal-processing techniques on actigraphy recordings; specific algorithm names and computational steps are not specified in the input.