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

Sleep Monitoring, Sleep Quality, Sleep Disorders (271) Insomnia and Sleep Hygiene (248) New Methods (1138) Design and Usability of Consumer Health Tech and Home Monitoring Devices (328) Design and Usability of Medical Devices (142) Wearable Devices and Sensors (1144) Development of Novel Medical Devices and Innovations for Existing Devices (103)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62959, first published .
Developing a Sleep Algorithm to Support a Digital Medicine System: Noninterventional, Observational Sleep Study

Developing a Sleep Algorithm to Support a Digital Medicine System: Noninterventional, Observational Sleep Study

Developing a Sleep Algorithm to Support a Digital Medicine System: Noninterventional, Observational Sleep Study

Authors of this article:

Jeffrey M Cochran1 Author Orcid Image
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Journals

  1. Vandegriffe A, Samaranayake V, Thimgan M, da Costa J. WACSAW: An adaptive, statistical method to classify movement into sleep and wakefulness states. PLOS One 2025;20(12):e0333417 View