A two-step neural network that uses both daily sleep timing and same-day light, skin temperature, and activity data estimates DLMO with lower root-mean-square error than models using one time scale alone.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales
A two-step neural network that uses both daily sleep timing and same-day light, skin temperature, and activity data estimates DLMO with lower root-mean-square error than models using one time scale alone.