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

Research Instruments, Questionnaires, and Tools (576) mHealth for Data Collection and Research (955) Insomnia and Sleep Hygiene (167) New Methods (945) Neurology and Neurosciences (185) Mobile Health (mhealth) (2942) Decision Support for Health Professionals (1186) Sleep Monitoring, Sleep Quality, Sleep Disorders (183)

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 (3) Tweetations (5) Metrics

Journals

  1. Song Y, Jeong J, de los Reyes A, Lim D, Cho C, Yeom J, Lee T, Lee J, Lee H, Kim J. Causal dynamics of sleep, circadian rhythm, and mood symptoms in patients with major depression and bipolar disorder: insights from longitudinal wearable device data. eBioMedicine 2024;103:105094 View
  2. Markov K, Elgendi M, Menon C. EEG-based headset sleep wearable devices. npj Biosensing 2024;1(1) View
  3. Cochran J. A Noninterventional, Observational Sleep Study to Develop a Sleep Algorithm to Support a Digital Medicine System (Preprint). JMIR Mental Health 2024 View