How do sleep tracking algorithms on modern wearables differentiate between lying awake in bed and actually being asleep?
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The searches the AI actually ran for this prompt.
SEED QUERY
How do sleep tracking algorithms on modern wearables differentiate between lying awake in bed and actually being asleep?
1 real search · 1 real-search pass
wearable sleep tracking quiet wakefulness actigraphy heart rate variability polysomnography algorithm accuracy sleep wake detectionGoogle ↗
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Searches and sources
ChatGPT1 real searches · gpt-6
wearable sleep tracking quiet wakefulness actigraphy heart rate variability polysomnography algorithm accuracy sleep wake detection Google ↗
- A performance validation of six commercial wrist-worn wearable sleep-tracking devices for sleep stage scoring compared to polysomnography · pmc.ncbi.nlm.nih.gov
- A Validation of Six Wearable Devices for Estimating Sleep, Heart Rate and Heart Rate Variability in Healthy Adults · pmc.ncbi.nlm.nih.gov
- Detecting sleep using heart rate and motion data from multisensor consumer-grade wearables, relative to wrist actigraphy and polysomnography · pmc.ncbi.nlm.nih.gov
- Past, Present, and Future of Multisensory Wearable Technology to Monitor Sleep and Circadian Rhythms · pubmed.ncbi.nlm.nih.gov