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

Research Instruments, Questionnaires, and Tools (738) mHealth for Data Collection and Research (1196) Insomnia and Sleep Hygiene (248) New Methods (1134) Neurology and Neurosciences (286) Mobile Health (mhealth) (3464) Decision Support for Health Professionals (1539) Sleep Monitoring, Sleep Quality, Sleep Disorders (268)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51336, first published .
Comparison of Polysomnography, Single-Channel Electroencephalogram, Fitbit, and Sleep Logs in Patients With Psychiatric Disorders: Cross-Sectional Study

Comparison of Polysomnography, Single-Channel Electroencephalogram, Fitbit, and Sleep Logs in Patients With Psychiatric Disorders: Cross-Sectional Study

Comparison of Polysomnography, Single-Channel Electroencephalogram, Fitbit, and Sleep Logs in Patients With Psychiatric Disorders: Cross-Sectional Study

Authors of this article:

Keita Kawai1 Author Orcid Image ;   Kunihiro Iwamoto1 Author Orcid Image ;   Seiko Miyata1 Author Orcid Image ;   Ippei Okada1 Author Orcid Image ;   Hiroshige Fujishiro1 Author Orcid Image ;   Akiko Noda2 Author Orcid Image ;   Kazuyuki Nakagome3 Author Orcid Image ;   Norio Ozaki1, 4 Author Orcid Image ;   Masashi Ikeda1 Author Orcid Image
Article Authors Cited by (9) Tweetations (5) Metrics

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  2. Markov K, Elgendi M, Menon C. EEG-based headset sleep wearable devices. npj Biosensing 2024;1(1) View
  3. Cochran J. Developing a Sleep Algxorithm to Support a Digital Medicine System: Noninterventional, Observational Sleep Study. JMIR Mental Health 2024;11:e62959 View
  4. Noda K, Kageyama I, Kobayashi Y, Lim Y, Sengoku S, Kodama K. Leveraging mHealth wearables for managing patients with Alzheimer’s disease: a scoping review. Drug Discovery Today 2025;30(5):104363 View
  5. Kim S, Zeitzer J, Mackey S, Darnall B. Revealing sleep and pain reciprocity with wearables and machine learning. Communications Medicine 2025;5(1) View
  6. Lin X, Zhang G, Cao S, Wang S, Wang F, Xu M. A bibliometric analysis of wearable device research in sleep science: Trends and hotspots. Medicine 2025;104(24):e42853 View
  7. Naito K, Iwamoto K, Miyata S, Okada I, Kawai K, Fujimoto A, Kogo Y, Mori D, Matsuyama N, Ando M, Ozaki N, Ikeda M. Effect of lemborexant on sleep-wake state discrepancy in participants with insomnia disorder. Psychopharmacology 2025 View
  8. Iadarola A, Cordani R, Veneruso M, Uccella S, Nobili L. Validation of a Wireless, Self-Applied Device for Sleep Recording in the Paediatric Population. Nature and Science of Sleep 2025;Volume 17:2863 View
  9. Endo H, Shigetsura Y, Chahara M, Kido K, Nakanishi E, Ueda S, Kimura K, Kuzuya A, Kawashima H, Matsumoto R, Tsuda M, Nakagawa S, Terada T. Sleep Architecture Alterations Following High‐Dose Steroid Pulse Therapy: A Pilot Study Using a Portable Electroencephalogram‐Based Device. Neuropsychopharmacology Reports 2025;45(4) View