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[HTML][HTML] The two fundamental shapes of sleep heart rate dynamics and their connection to mental health in college students
Introduction: Wearable devices are rapidly improving our ability to observe health-related
processes for extended durations in an unintrusive manner. In this study, we use wearable …
processes for extended durations in an unintrusive manner. In this study, we use wearable …
The State of Digital Biomarkers in Mental Health
Untreated mental health conditions are a leading cause of disability in the world [1, 2],
accounting for more than 30% of years lived with disability [1]. However, the staggering …
accounting for more than 30% of years lived with disability [1]. However, the staggering …
Can heart rate sequences from wearable devices predict day-long mental states in higher education students: a signal processing and machine learning case study at …
T Chen - Brain Informatics, 2024 - Springer
The mental health of students in higher education has been a growing concern, with
increasing evidence pointing to heightened risks of develo** mental health condition. This …
increasing evidence pointing to heightened risks of develo** mental health condition. This …
[HTML][HTML] Predictors of Anxiety Trajectories in Cohort of First-Year College Students
Objective The transition to college is a period of growth and vulnerability for young adult
health and well-being and provides a critical window for potential behavioral interventions …
health and well-being and provides a critical window for potential behavioral interventions …
Collective sleep and activity patterns of college students from wearable devices
To optimize interventions for improving wellness, it is essential to understand habits, which
wearable devices can measure with greater precision. Using high temporal resolution …
wearable devices can measure with greater precision. Using high temporal resolution …
[PDF][PDF] Decoding minds: Estimation of stress level in students using machine learning
Objectives: Develop a predictive model to categorize student's stress levels and support
early interventions based on self-reported data, academic performance, and study load. This …
early interventions based on self-reported data, academic performance, and study load. This …
Predicting Sleep Quality in Family Caregivers of Dementia Patients From Diverse Populations Using Wearable Sensor Data
This study aimed to use wearable technology to predict the sleep quality of family caregivers
of people with dementia among underrepresented groups. Caregivers of people with …
of people with dementia among underrepresented groups. Caregivers of people with …
Longitudinal Profiles of Heart Rate Variability in First-Year College Students Using Wearables
As the mental health of college students continues to worsen, identifying students who need
additional support and timely, targeted intervention is vital for college campuses. Leveraging …
additional support and timely, targeted intervention is vital for college campuses. Leveraging …