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

Formative Evaluation of Digital Health Interventions (2916) Ecological Momentary Assessment (EMA) (366) Wearable Devices and Sensors (1032) mHealth for Wellness, Behavior Change and Prevention (3153) mHealth for Data Collection and Research (1110) Pregnancy Information, Education and Lifestyle Interventions (363) Sleep Monitoring, Sleep Quality, Sleep Disorders (237) Obstetrics, Gynecology, and Reproductive Medicine (292) Mobile Apps for Pregnancy and Parenting Education (57)

Published on in Vol 5, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30991, first published .
A Technology-Based Pregnancy Health and Wellness Intervention (Two Happy Hearts): Case Study

A Technology-Based Pregnancy Health and Wellness Intervention (Two Happy Hearts): Case Study

A Technology-Based Pregnancy Health and Wellness Intervention (Two Happy Hearts): Case Study

Authors of this article:

Tamara Jimah1 Author Orcid Image ;   Holly Borg1 Author Orcid Image ;   Priscilla Kehoe1 Author Orcid Image ;   Pamela Pimentel1 Author Orcid Image ;   Arlene Turner2 Author Orcid Image ;   Sina Labbaf3 Author Orcid Image ;   Milad Asgari Mehrabadi4 Author Orcid Image ;   Amir M. Rahmani1, 3, 5 Author Orcid Image ;   Nikil Dutt3, 4 Author Orcid Image ;   Yuqing Guo1 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

Journals

  1. Rowan S, Lilly C, Claydon E, Wallace J, Merryman K. Monitoring one heart to help two: heart rate variability and resting heart rate using wearable technology in active women across the perinatal period. BMC Pregnancy and Childbirth 2022;22(1) View
  2. Maugeri A, Barchitta M, Agodi A. How Wearable Sensors Can Support the Research on Foetal and Pregnancy Outcomes: A Scoping Review. Journal of Personalized Medicine 2023;13(2):218 View
  3. Moorthy P, Weinert L, Schüttler C, Svensson L, Sedlmayr B, Müller J, Nagel T. Attributes, Methods, and Frameworks Used to Evaluate Wearables and Their Companion mHealth Apps: Scoping Review. JMIR mHealth and uHealth 2024;12:e52179 View
  4. Keeler Bruce L, González D, Dasgupta S, Smarr B. Biometrics of complete human pregnancy recorded by wearable devices. npj Digital Medicine 2024;7(1) View
  5. Bao Y, Xue M, Gohumpu J, Cao Y, Weng S, Fang P, Wu J, Yu B. Prenatal anxiety recognition model integrating multimodal physiological signal. Scientific Reports 2024;14(1) View
  6. Rim J, Xu Q, Tang X, Guo Y, Qu A. Individualized Time‐Varying Nonparametric Model With an Application in Mobile Health. Statistics in Medicine 2025;44(5) View
  7. Zhang X, Cui W, Yao J, Zhang Y, Wang Y. Feasibility and utility of ecological momentary assessment to measure mental health issues in perinatal women: Scoping review. Psychiatry Research 2025;348:116400 View

Conference Proceedings

  1. Zhang W, Bao H, Li C, Zhai Y, Liu J, Gong J. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Exploring Wearable Design for Emotional Health and Well-Being during Menopause: Perspectives and Design Opportunities View