DualSleep dataset for accelerometer-based sleep/wakefulness recognition

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Logacjov, Aleksej; Skarpsno, Eivind Schjelderup; Kongsvold, Atle; Bach, Kerstin; Mork, Paul Jarle, 2024, "DualSleep dataset for accelerometer-based sleep/wakefulness recognition", https://doi.org/10.18710/UGNIFE, DataverseNO, V1

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Description	The DualSleep dataset contains acceleration and temperature overnight recordings of 29 participants wearing two accelerometers at the thigh and lower back, together with the corresponding sleep stages/annotations (Wake, Non-REM1, Non-REM2, Non-REM3, REM, Movement). The annotation were created using simultaneous Polysomnography recordings. The study protocol was approved by the Regional Committee for Medical and Health research ethics (reference no. 2015/1748/REK midt) and all participants signed a written informed consent before being enrolled in the study. The DualSleep dataset was used for machine learning experiments in our published paper: "A machine learning model for predicting sleep and wakefulness based on accelerometry, skin temperature and contextual information" (https://doi.org/10.2147/NSS.S452799) (2024-06-05)
Subject	Medicine, Health and Life Sciences; Computer and Information Science
Keyword	accelerometer, sleep wakefulness classification, machine learning
Related Publication	A. Logacjov, E. S. Skarpsno, A. Kongsvold, K. Bach, and P. J. Mork, “A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information,” NSS, vol. 16, pp. 699–710, Jun. 2024, doi: 10.2147/NSS.S452799. doi: 10.2147/NSS.S452799
License/Data Use Agreement	CC0 1.0

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Citation Metadata

Persistent Identifier	doi:10.18710/UGNIFE
Publication Date	2024-06-11
Title	DualSleep dataset for accelerometer-based sleep/wakefulness recognition
Alternative Title	DualSleep
Author	Logacjov, Aleksej (NTNU – Norwegian University of Science and Technology) - ORCID: 0000-0002-8834-1744 Skarpsno, Eivind Schjelderup (NTNU – Norwegian University of Science and Technology) - ORCID: 0000-0002-4135-0408 Kongsvold, Atle (NTNU – Norwegian University of Science and Technology) - ORCID: 0000-0003-4887-8288 Bach, Kerstin (NTNU – Norwegian University of Science and Technology) - ORCID: 0000-0002-4256-7676 Mork, Paul Jarle (NTNU – Norwegian University of Science and Technology) - ORCID: 0000-0003-3355-2680
Point of Contact	Use email button above to contact. Logacjov, Aleksej (NTNU – Norwegian University of Science and Technology) Skarpsno, Eivind Schjelderup (NTNU – Norwegian University of Science and Technology) Kongsvold, Atle (NTNU – Norwegian University of Science and Technology) Bach, Kerstin (NTNU – Norwegian University of Science and Technology) Mork, Paul Jarle (NTNU – Norwegian University of Science and Technology)
Description	The DualSleep dataset contains acceleration and temperature overnight recordings of 29 participants wearing two accelerometers at the thigh and lower back, together with the corresponding sleep stages/annotations (Wake, Non-REM1, Non-REM2, Non-REM3, REM, Movement). The annotation were created using simultaneous Polysomnography recordings. The study protocol was approved by the Regional Committee for Medical and Health research ethics (reference no. 2015/1748/REK midt) and all participants signed a written informed consent before being enrolled in the study. The DualSleep dataset was used for machine learning experiments in our published paper: "A machine learning model for predicting sleep and wakefulness based on accelerometry, skin temperature and contextual information" (https://doi.org/10.2147/NSS.S452799) (2024-06-05)
Subject	Medicine, Health and Life Sciences; Computer and Information Science
Keyword	accelerometer sleep wakefulness classification machine learning
Related Publication	A. Logacjov, E. S. Skarpsno, A. Kongsvold, K. Bach, and P. J. Mork, “A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information,” NSS, vol. 16, pp. 699–710, Jun. 2024, doi: 10.2147/NSS.S452799. doi: 10.2147/NSS.S452799 https://doi.org/10.2147/NSS.S452799
Language	English
Producer	NTNU – Norwegian University of Science and Technology (NTNU) https://www.ntnu.edu/
Contributor	Funder : NTNU Health, Norwegian University of Science and Technology Researcher : Logacjov Aleksej Researcher : Skarpsno, Eivind Schjelderup Researcher : Kongsvold, Atle Researcher : Bach, Kerstin Project Leader : paul.mork@ntnu.no
Funding Information	NTNU Health, Norwegian University of Science and Technology: grant no. 81771516
Distributor	NTNU – Norwegian University of Science and Technology (NTNU) https://dataverse.no/dataverse/ntnu
Depositor	Logacjov, Aleksej
Deposit Date	2024-05-31
Data Type	sensor data
Related Dataset	https://archive.ics.uci.edu/dataset/779/harth; https://archive.ics.uci.edu/dataset/780/har70

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