Centralive Blog
Want to know more about the Centralive features? Read our blog posts here.
Can Wearable IoT Technology Improve Sleep for Dementia Caregivers?
Wearable IoT effectively monitors sleep in diverse dementia caregivers. Interventions improved REM sleep and onset latency, particularly in adult children.
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Detection of Depressive Symptoms Using Multimodal Passive Sensing
Can wearables predict depression? New study uses Oura & Samsung data to detect symptoms with 74% accuracy. Passive sensing is the future of mental health.
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Beyond Tracking: Simulating Your Health Future with Causal AI
New research utilizes causal AI to simulate personalized ‘what-if’ health scenarios, proving that identical lifestyle changes yield vastly different physiological results.
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Just in Time Interventions for Loneliness, Lessons From a Mobile Health Pilot Study
Just in time interventions promise support at the moment it matters most, but real world timing can make or break their impact. This mobile health pilot reveals what happens when theory meets daily life, and what it takes to deliver mental health support that truly fits.
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Loneliness Is Not Just a Feeling, It Is a Pattern
Loneliness is not invisible, it leaves measurable traces in sleep, movement, heart rate variability, and even phone use. A new study powered by the Centralive platform shows how wearables reveal the daily patterns that cause loneliness, not just predict it, and why this changes how we think about prevention.
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We know pregnancy changes the body. Now we can see how it changes the heart, hour by hour.
A new study published in npj Womenโs Health reveals how heart rate and heart rate variability follow distinct circadian rhythms throughout pregnancy, captured continuously in real life using wearable devices. By following pregnant women from the second trimester to delivery, the researchers uncovered patterns that were previously invisible. ๐ช๐ต๐ฎ๐ ๐๐๐ผ๐ผ๐ฑ ๐ผ๐๐:โข Strong daily heart rate […]
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