Identifying bedrest using 24-h waist or wrist accelerometry in adults.

J Dustin TracySari AcraKong Y ChenMaciej S Buchowski

Published in: PloS one (2018)

The adapted DT accurately identifies bedrest in data from accelerometers worn by adults on either the wrist or waist. The automated bedrest/sleep detection DT algorithm for both youth and adults is openly accessible as a package "PhysActBedRest" for the R-computer language.

Keyphrases

autism spectrum disorder
deep learning
body mass index
machine learning
physical activity
mental health
young adults
big data
electronic health record
sleep quality
artificial intelligence
loop mediated isothermal amplification
neural network