ACTman
ACTman automates preprocessing and analysis workflows for actigraphy data to support reproducible, scalable investigation of sleep–wake patterns and circadian rhythms.
Key Features:
- Automated Preprocessing: Automates labor-intensive preprocessing steps for actigraphy data.
- Transparency and Reproducibility: Implements clearly documented processing steps and outputs to support reproducible analyses.
- Scalability: Handles large datasets and extended monitoring periods to support cohort-scale and long-duration studies.
- Customization Options: Provides moving-window functionality and period selection options to tailor analyses to specific study requirements.
- Automated Information Flow: Implements a comprehensive automated information flow to address inefficiencies in traditional actigraphy workflows.
Scientific Applications:
- Athletic Performance Studies: Facilitates analysis of sleep–wake patterns in athletes to inform training and recovery strategies.
- Clinical Research: Supports assessment of circadian rhythms and sleep disorders for diagnosis and treatment planning.
- Large-cohort and Longitudinal Studies: Enables preprocessing and analysis for studies involving large cohorts or extended data collection periods.
Methodology:
Automated preprocessing, moving-window analyses, period selection, and a comprehensive automated information flow for actigraphy data handling.
Topics
Details
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 1/14/2020
- Last Updated:
- 1/14/2021
Operations
Publications
Kunkels YK, Knapen SE, Zuidersma M, Wichers M, Riese H, Emerencia AC. ACTman: Automated preprocessing and analysis of actigraphy data. Journal of Science and Medicine in Sport. 2020;23(5):481-486. doi:10.1016/j.jsams.2019.11.009. PMID:31813761.
PMID: 31813761