Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory StudyJMIR mHealth and uHealth - Tập 8 Số 9 - Trang e17818
Madeena Sultana, Majed Al-Jefri, Joon Lee
Background Emotional state in everyday life is an essential indicator of health
and well-being. However, daily assessment of emotional states largely depends on
active self-reports, which are often inconvenient and prone to incomplete
information. Automated detection of emotional states and transitions on a daily
basis could be an effective solution to this problem. However, the relationship
betwe... hiện toàn bộ
Perceptions of Patient Engagement Applications During Pregnancy: A Qualitative Assessment of the Patient’s PerspectiveJMIR mHealth and uHealth - Tập 5 Số 5 - Trang e73
Maren Goetz, Mitho Müller, Lina Maria Matthies, Jenny Hansen, Anne Doster, Ákos Szabó, Jan Pauluschke‐Fröhlich, Harald Abele, Christof Sohn, Markus Wallwiener, Stephanie Wallwiener
The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative ReviewJMIR mHealth and uHealth - Tập 7 Số 2 - Trang e11606
Ka Hou Christien Li, Francesca Anne White, Timothy Tipoe, Tong Liu, Martin C. S. Wong, Aaron Jesuthasan, Adrián Baranchuk, Gary Tse, Bryan P. Yan
Effectiveness of Telehealth Interventions for Women With Postpartum Depression: Systematic Review and Meta-analysisJMIR mHealth and uHealth - Tập 9 Số 10 - Trang e32544
Liuhong Zhao, Jingfen Chen, Liuying Lan, Ni Deng, Yan Liao, Liqun Yue, Innie Chen, Shi Wu Wen, Ri‐hua Xie
Background Postpartum depression (PPD) is a prevalent mental health problem with
serious adverse consequences for affected women and their infants. Clinical
trials have found that telehealth interventions for women with PPD result in
increased accessibility and improved treatment effectiveness. However, no
comprehensive synthesis of evidence from clinical trials by systematic review
has been condu... hiện toàn bộ