Publications
This page provides a curated list of peer-reviewed scientific articles that have been published using our service. We are thrilled to be a part of our clients’ success. Please note that earlier publications may refer to our service by its former name, ZotCare, while more recent work uses our current name, Centralive.
A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability
Validation
Observational Study
-
📱 Samsung Gear Sport Smartwatch
-
👥 28 healthy adults (14 male, 14 female) monitored under free-living conditions for 24 hours
-
📊 Heart Rate (HR)
📊 Time-domain HRV (AVNN, RMSSD, SDNN, pNN50)
📊 Frequency-domain HRV (LF, HF, LF/HF)
A Descriptive Comparative Pilot Study: Association Between Use of a Self-monitoring Device and Sleep and Stress Outcomes in Pregnancy
Observational
Pilot
Comparative Study (examining association of engagement with outcomes)
-
📱 Oura Ring
-
👥 20 pregnant women (Finnish, in first or early second trimester)
-
📊 Sleep Duration
📊 Sleep Onset Latency
📊 Waking after Sleep Onset
📊 Sleep Efficiency
📊 RMSSD (HRV measure) as stress indicator
📊 Wear time / non-wear time as engagement metric
A Micro-Level Analysis of Physiological Responses to COVID-19: Continuous Monitoring of Pregnant Women in California
Observational
Case Study
-
📱 Oura Ring
-
👥 Pregnant Women
-
📊 Resting Heart Rate (HR)
📊 Heart Rate Variability (HRV)
📊 Respiratory Rate (RR)
📊 Skin Temperature
📊 Sleep Duration and Sleep Stages (deep, light, REM)
Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison With Electrocardiography in Time and Frequency Domains: Comprehensive Analysis
Validation
Accuracy Study
-
📱 Oura Ring
-
👥 35 healthy individuals (monitored overnight in home settings)
-
📊 Nocturnal HR
📊 HRV (RMSSD, AVNN, pNN50, SDNN, LF, HF, LF/HF ratio) 5-minute segments and night-average
Attention-Based Explainable AI for Wearable Multivariate Data: A Case Study on Affect Status Prediction
Predictive / Explainable AI for Affect Classification
-
📱 Wearable sensors capturing multivariate physiological and behavioral signals
-
👥 21 college students monitored longitudinally over 1 year
-
📊 Multivariate time series (physiological + behavioral signals) for positive/negative affect classification
Comparing prenatal and postpartum stress among women using subjective and objective measures
Observational
Longitudinal Study
-
📱 Wearable Sensors
-
👥 Pregnant women and women in the 3-month postpartum period
-
📊 Subjective self-reports of stress
📊 Heart Rate (HR)
📊 Heart Rate Variability (HRV)
📊 Activity
📊 Sleep
Comparison of Oura Smart Ring Against ActiGraph Accelerometer for Measurement of Physical Activity and Sedentary Time in a Free-Living Context
Observational Study / Validation
-
📱 Oura Ring
📱 ActiGraph Accelerometer
-
👥 42 healthy adults (aged 18-46)
-
📊 Step Count
📊 Sedentary Time
Differential Private Federated Transfer Learning forMental Health Monitoring in Everyday Settings: ACase Study on Stress Detection
Predictive
Privacy-preserving Federated Transfer Learning
-
📱 Wearable Sensors
📱 Smartphone Contextual Sensing
-
👥 Longitudinal sample from everyday users (physiological + contextual data)
-
📊 Physiological Signals
📊 Contextual Features
📊 Stress Labels
Digital Health–Enabled Community-Centered Care: ScalableModel to Empower Future Community Health Workers UsingHuman-in-the-Loop Artificial Intelligence
Conceptual
Viewpoint
Model Proposal
-
📱 Wearable Devices
📱 Physiological/Environmental Sensors
-
👥 Designed for community health workers and their clients (no empirical study conducted)
-
📊 Conceptual discussion of integrating physiological and contextual data (both subjective and objective)
Effectiveness of supporting lifestyle change in pregnant mothers with obesity through the wearable internet-of-things (SLIM) -intervention on self-efficacy in weight management in pregnant women: A quasi-experimental trial
Interventional
Quasi-Experimental Trial
-
📱 Oura Ring
-
👥 54 pregnant women with overweight or obesity, recruited from maternity clinics in Southwest Finland
-
📊 Sleep
📊 Physical Activity
📊 Heart Rate (HR)
📊 Weight and gestational weight gain from medical records
📊 Dietary logs and self-reported questionnaires on eating and physical activity self-efficacy
Evaluating the Impact of an App-Delivered Mindfulness Meditation Program to Reduce Stress and Anxiety During Pregnancy: Pilot Longitudinal Study
Interventional
mHealth Intervention
-
📱 Oura Ring
-
👥 20 Pregnant Women
-
📊 HRV metrics (low frequency power band)
📊 Sleep
📊 Self-reported stress and anxiety scales
Exploring Access as a Process of Adaptation in a Self-Monitoring Perinatal eHealth System: Mixed Methods Study From a Sociomaterial Perspective
Qualitative
Process Evaluation (adaptation of eHealth self-monitoring)
-
📱 Wearable Sensors
-
👥 Participants in a self-monitoring intervention (users adapting to eHealth tools)
-
📊 Wearable Sensor Data
📊 Self-monitoring logs
📊 Usage Patterns
📊 Contextual Data
Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis
Predictive / Explainable AI for Health Analytics
-
📱 Oura Ring
📱 Samsung Galaxy Smartwatch
-
👥 20 college students during COVID-19 lockdown
-
📊 Sleep
📊 Activity
📊 Heart Rate (HR)
📊 Heart Rate Variability (HRV)
📊 Daily Diaries
Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach
Interventional
Causal Machine Learning Study
-
📱 Oura Ring
📱 Smart Devices
-
👥 Pregnant women with overweight or obesity participating in a long-term monitoring study
-
📊 Physical Activity Metrics
📊 Quality-of-life Questionnaires
📊 Contextual Health Data
Integrating wearable sensor data and self-reported diaries for personalized affect forecasting
Predictive Modeling
Forecasting Affect Status
-
📱 Wearable Sensors
-
👥 College Students (longitudinal over a year)
-
📊 Sleep
📊 Physical Activity
📊 Self-reported Diary Entries