Journal article

Prediction of drowsiness events in night shift workers during morning driving

Yulan Liang, William J Horrey, Mark E Howard, Michael L Lee, Clare Anderson, Michael S Shreeve, Conor S O'Brien, Charles A Czeisler

Accident Analysis & Prevention | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2019

University of Melbourne Researchers

Grants

Awarded by National Institutes of Health Award


Awarded by National Space Biomedical Research Institute Award


Awarded by Department of Homeland Security Federal Emergency Management Agency Assistance


Awarded by National Heart, Lung and Blood Institute Cooperative Agreement


Awarded by National Institute of Occupational Safety and Health


Awarded by National Institute on Aging


Funding Acknowledgements

This study was supported by a grant from the Institute of Breathing and Sleep Research (to M.E.H.); by Liberty Mutual Insurance; National Institutes of Health Award 5T32HL7901-14 (to M.L.L.); National Space Biomedical Research Institute Award PF03002 (to M.L.L.); Department of Homeland Security Federal Emergency Management Agency Assistance to Firefighter Grant EMW-2010-FP-00521 (to C.A.C.); National Heart, Lung and Blood Institute Cooperative Agreement U01-HL111478 (to C.A.C.); National Institute of Occupational Safety and Health Grant R01-0H0103001 (to C.A.C.); National Institute on Aging Grant R01-AG044416 (to C.A.C.); and an endowed professorship provided to Harvard Medical School by Cephalon, Inc. (to C.A.C.). The authors acknowledge the contributions of Joseph Ronda for his technical expertise, and Brandon Lockyer for scoring of the EEG and EOG data.