Centralive Blog
Want to know more about the Centralive features? Read our blog posts here.
Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach
New research uses Deep Q-Learning to slash user burden in stress monitoring by 88% while boosting detection accuracy via context-aware EMA triggers. 🚀
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Garmin’s Screenless Revolution in Biometric Monitoring
Garmin’s screenless device redefines health data with high-fidelity biometrics and raw accelerometer access for personalized health-tech development.
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What Compliance Rate Should You Set as a Minimum Threshold, and How Do You Enforce It?
Stop guessing your wearable data thresholds. Learn why the 80% rule causes sample bias and how to set evidence-based compliance rules for valid research results.
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One of the most common questions from researchers designing a wearable sleep study is deceptively simple: how many nights of data do I need before my estimate of a participant’s sleep is stable and representative?
How many nights of wearable data do you really need? Learn why 7 nights is enough for habitual means, but 60+ nights are required for sleep variability study.
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Does Skin Tone, BMI, or Dominant Hand Affect Sleep Measurement Accuracy?
Does skin tone or BMI skew your wearable data? Discover the evidence-based reality of PPG bias and the framework for ensuring accuracy in diverse sleep studies.
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Can Wearables Identify Sleep Disorders Like Insomnia, Sleep Apnea, or Restless Legs?
Can wearables diagnose sleep disorders? Explore the evidence for OSA, Insomnia, and RLS, and why raw signal access is critical for research-grade accuracy.
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CIHR Project Grant Program: Funding the Future of Health Research
The CIHR Project Grant Program offers funding for high-impact health research. Registration for the Fall 2026 competition closes August 12, 2026. Apply now!
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Advancing Healthcare Equity for Older Adults: NIH PAR-24-273 Opportunity
NIH PAR-24-273 funds R01 research to reduce health disparities for older adults through multi-level care interventions. First deadline: Feb 5, 2025.
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Personalized Digital Health Modeling with Adaptive Support Users
Discover how using ‘dissimilar’ user data boosts personalized digital health models, reducing prediction errors by up to 25% in low-data settings. Read more!
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Empower Your Health Journey: Centralive Now Integrates with Fitbit
Supercharge your health journey with Centralive’s new Fitbit integration. Sync your smart band to monitor heart rate, sleep, and activity in real-time.
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