This paper is in the following e-collection/theme issue:

Wearable Devices and Sensors (811) Sleep Monitoring, Sleep Quality, Sleep Disorders (167) mHealth for Data Collection and Research (907) Fitness Trackers and Smart Pedometers/Accelerometers (539) Tools, Programs and Algorithms (236) Insomnia and Sleep Hygiene (151)

Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29849, first published .
Open-source Longitudinal Sleep Analysis From Accelerometer Data (DPSleep): Algorithm Development and Validation

Open-source Longitudinal Sleep Analysis From Accelerometer Data (DPSleep): Algorithm Development and Validation

Open-source Longitudinal Sleep Analysis From Accelerometer Data (DPSleep): Algorithm Development and Validation

Authors of this article:

Habiballah Rahimi-Eichi1, 2, 3 Author Orcid Image ;   Garth Coombs III1 Author Orcid Image ;   Constanza M Vidal Bustamante1 Author Orcid Image ;   Jukka-Pekka Onnela4 Author Orcid Image ;   Justin T Baker2, 3 Author Orcid Image ;   Randy L Buckner1, 3, 5 Author Orcid Image
Article Authors Cited by (9) Tweetations (12) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.