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

Ecological Momentary Assessment (EMA) (309) Wearable Devices and Sensors (888) mHealth for Wellness, Behavior Change and Prevention (2871) Fitness Trackers and Smart Pedometers/Accelerometers (561)

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

Authors of this article:

Hiroki Takeuchi1 Author Orcid Image ;   Kaori Suwa1 Author Orcid Image ;   Akifumi Kishi2, 3 Author Orcid Image ;   Toru Nakamura4 Author Orcid Image ;   Kazuhiro Yoshiuchi2 Author Orcid Image ;   Yoshiharu Yamamoto1 Author Orcid Image
Article Authors Cited by (10) Tweetations Metrics

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
  6. Song M, Yang Z, Triantafyllopoulos A, Zhang Z, Nan Z, Tang M, Takeuchi H, Nakamura T, Kishi A, Ishizawa T, Yoshiuchi K, Schuller B, Yamamoto Y. Empowering Mental Health Monitoring Using a Macro-Micro Personalization Framework for Multimodal-Multitask Learning: Descriptive Study. JMIR Mental Health 2024;11:e59512 View
  7. Suwa K, Nakamura T, Kishi A, Takeuchi H, Yoshiuchi K, Yamamoto Y. Daily Associations Between Presenteeism and Health-Related Factors Among Office Workers. Journal of Occupational & Environmental Medicine 2024;66(9):e382 View
  8. Klooster I, Kip H, van Gemert-Pijnen L, Crutzen R, Kelders S. A systematic review on eHealth technology personalization approaches. iScience 2024;27(9):110771 View
  9. Lv C, Ren J, Zhu Y. Exploring the Relationship between Sleep Pattern and Quality of Life in the Middle-aged Population Based on Fuzzy-set Qualitative Comparative Analysis. Medicine 2024;103(44):e40294 View