Published on in Vol 10, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39150, first published .
The Effects of Objective Push-Type Sleep Feedback on Habitual Sleep Behavior and Momentary Symptoms in Daily Life: mHealth Intervention Trial Using a Health Care Internet of Things System

The Effects of Objective Push-Type Sleep Feedback on Habitual Sleep Behavior and Momentary Symptoms in Daily Life: mHealth Intervention Trial Using a Health Care Internet of Things System

The Effects of Objective Push-Type Sleep Feedback on Habitual Sleep Behavior and Momentary Symptoms in Daily Life: mHealth Intervention Trial Using a Health Care Internet of Things System

Journals

  1. Kinoshita S, Hanashiro S, Tsutsumi S, Shiga K, Kitazawa M, Wada Y, Inaishi J, Kashiwagi K, Fukami T, Mashimo Y, Minato K, Kishimoto T. Assessment of Stress and Well-Being of Japanese Employees Using Wearable Devices for Sleep Monitoring Combined With Ecological Momentary Assessment: Pilot Observational Study. JMIR Formative Research 2024;8:e49396 View
  2. Del-Valle-Soto C, López-Pimentel J, Vázquez-Castillo J, Nolazco-Flores J, Velázquez R, Varela-Aldás J, Visconti P. A Comprehensive Review of Behavior Change Techniques in Wearables and IoT: Implications for Health and Well-Being. Sensors 2024;24(8):2429 View
  3. Tan T, Tian J, Sharma A, Liu S, Huang Y. Human Activity Recognition Based on Deep Learning and Micro-Doppler Radar Data. Sensors 2024;24(8):2530 View
  4. Takeuchi H, Ishizawa T, Kishi A, Nakamura T, Yoshiuchi K, Yamamoto Y. Just-in-Time Adaptive Intervention for Stabilizing Sleep Hours of Japanese Workers: Microrandomized Trial. Journal of Medical Internet Research 2024;26:e49669 View
  5. Jung S, Takeuchi T, Kitahara M, Tsutsumi A, Nomura K. Effectiveness of mobile applications in improving insomnia symptoms among adults from multi-community: A systematic review and meta-analysis. Sleep Medicine 2024;119:357 View