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

Formative Evaluation of Digital Health Interventions (4985) Mobile Health (mhealth) (5069) Wearable Devices and Sensors (1540) Fitness Trackers and Smart Pedometers/Accelerometers (783) Sleep Monitoring, Sleep Quality, Sleep Disorders (338)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63529, first published .
Two black wristbands with digital displays, one showing 14:33.

Validation of Sleep Measurements of an Actigraphy Watch: Instrument Validation Study

Validation of Sleep Measurements of an Actigraphy Watch: Instrument Validation Study

Authors of this article:

Mari Waki1 Author Orcid Image ;   Ryohei Nakada1 Author Orcid Image ;   Kayo Waki1 Author Orcid Image ;   Yuki Ban1 Author Orcid Image ;   Ryo Suzuki2 Author Orcid Image ;   Toshimasa Yamauchi3 Author Orcid Image ;   Masaomi Nangaku4 Author Orcid Image ;   Kazuhiko Ohe1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Li X, Halaki M, Chow C. Validation of MotionWatch8 Actigraphy Against Polysomnography in Menopausal Women Under Warm Conditions. Sensors 2025;25(10):3040 View
  2. Deguchi N, Hatanaka S, Daimaru K, Wakui T, Fujihara S, Imamura K, Kawai H, Maruo K, Sasai H. In-home validation of wrist- and waist-worn devices against portable electroencephalography for sleep assessment in community-dwelling older adults. Sleep Medicine 2026;144:108958 View
  3. Nakada R, Lane D, Iwata S, Isogawa A, Toyoda M, Sawaki H, Murata T, Kajino S, Waki H, Kato S, Kawaguchi T, Hirota Y, Saito S, Nishikage S, Yokota K, Tsurutani Y, Tone A, Miyoshi K, Yamauchi T, Nangaku M, Waki K. Digital Intervention Increasing Sleep Duration Among People With Type 2 Diabetes: Pilot Randomized Controlled Trial. Journal of Diabetes Science and Technology 2026 View

Conference Proceedings

  1. Mohebi M, Tuleukhanov S, Turmakhan S, Nietbaeva G, Amangeldi I, Kazkenov A. 2026 IEEE 6th International Conference on Smart Information Systems and Technologies (SIST). Benchmarking of Classical and Modern Tabular Machine Learning Models for Sleep Efficiency Prediction View