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Frontiers in Digital Health|October 29, 2021
A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity TrackersZilu Liang, Mario Alberto Chapa-MartellJMIR Mhealth and Uhealth|June 8, 2019
Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and the Effect of User-Specific FactorsZilu Liang, Mario Alberto Chapa-MartellJournal of Healthcare Informatics Research|April 13, 2022
Validity of Consumer Activity Wristbands and Wearable EEG for Measuring Overall Sleep Parameters and Sleep Structure in Free-Living ConditionsZilu Liang, Mario Alberto Chapa MartellPageof 1