This dataset originates from a longitudinal study examining the factors contributing to the progression of cardiovascular disease. P This particular research employs the unprocessed sequential actigraph recordings collected from an actigraph device. We evaluate sleep quality based on the two indicators as proposed in our previous study [3] which are weekly sleep quality ‘SleepQualWeek’, and sleep consistency ‘SleepCons’. SleepQualWeek and SleepCons are calculated using the pre-processed attribute set derived from the MESA dataset. 

Dataset Files

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[1] Anshika Arora, "Sleep Actigraph Dataset", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/1509-4x25. Accessed: Dec. 08, 2024.
@data{1509-4x25-24,
doi = {10.21227/1509-4x25},
url = {http://dx.doi.org/10.21227/1509-4x25},
author = {Anshika Arora },
publisher = {IEEE Dataport},
title = {Sleep Actigraph Dataset},
year = {2024} }
TY - DATA
T1 - Sleep Actigraph Dataset
AU - Anshika Arora
PY - 2024
PB - IEEE Dataport
UR - 10.21227/1509-4x25
ER -
Anshika Arora. (2024). Sleep Actigraph Dataset. IEEE Dataport. http://dx.doi.org/10.21227/1509-4x25
Anshika Arora, 2024. Sleep Actigraph Dataset. Available at: http://dx.doi.org/10.21227/1509-4x25.
Anshika Arora. (2024). "Sleep Actigraph Dataset." Web.
1. Anshika Arora. Sleep Actigraph Dataset [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/1509-4x25
Anshika Arora. "Sleep Actigraph Dataset." doi: 10.21227/1509-4x25