Method for Activity Sleep Harmonization (MASH): a novel method for harmonizing data from two wearable devices to estimate 24-h sleep–wake cycles

Dooley, E. E., Winkles, J. F., Colvin, A., Kline, C. E., Badon, S. E., Diaz, K. M., Karvonen-Gutierrez, C. A., Kravitz, H. M., Sternfeld, B., Thomas, S. J., Hall, M. H., & Pettee Gabriel, K. (2023). Method for Activity Sleep Harmonization (MASH): a novel method for harmonizing data from two wearable devices to estimate 24-h sleep–wake cycles. Journal of Activity, Sedentary and Sleep Behaviors, 2(1). https://doi.org/10.1186/s44167-023-00017-5
Authors:
Erin E. Dooley
J. F. Winkles
Alicia Colvin
Christopher Kline
Sylvia E. Badon
Keith M. Diaz
Carrie Karvonen‐Gutierrez
Howard M. Kravitz
Barbara Sternfeld
S. Justin Thomas
Martica H. Hall
Kelley Pettee Gabriel
Affiliated Authors:
Keith M. Diaz
Author Keywords:
24-h activity
accelerometer
actigraphy
harmonization
machine learning
physical activity
sleep
time-use epidemiology
Publication Type:
Article
Unique ID:
10.1186/s44167-023-00017-5
PMID:
Publication Date:
Data Source:
OpenAlex

Record Created: