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

Development and Evaluation of Research Methods, Instruments and Tools (1418) mHealth for Data Collection and Research (1779) mHealth in a Clinical Setting (1213) Insomnia and Sleep Hygiene (317) Ecological Momentary Assessment (EMA) (529)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73969, first published .
Woman in bed using smartphone at night

Assessing Night-to-Night Sleep Variability as a Hallmark of Chronic Insomnia Using Longitudinal, Contactless, Mobile Sleep Monitoring: Prospective Cohort Study

Assessing Night-to-Night Sleep Variability as a Hallmark of Chronic Insomnia Using Longitudinal, Contactless, Mobile Sleep Monitoring: Prospective Cohort Study

Authors of this article:

Devon A Hansen1 Author Orcid Image ;   Mary E Peterson2 Author Orcid Image ;   Myles G Finlay1 Author Orcid Image ;   Elie Gottlieb3 Author Orcid Image ;   Sharon Danoff-Burg3 Author Orcid Image ;   Roy JEM Raymann3 Author Orcid Image ;   Dedra Buchwald4 Author Orcid Image ;   Nathaniel F Watson5 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Maghsoudi A, Ju Lynn O, Razjouyan J, Sharafkhaneh A. Big Data and Artificial Intelligence in Sleep Medicine. Sleep Medicine Clinics 2026 View