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Oura was shown to be more accurate at detecting sleep and wake than other lower-cost wearables. Additionally, Oura was the least prone to misclassifying motionless wake as sleep.
Bei der Studie wurden der Algorithmus der Schlafphasenanalyse 2.0 von Oura mit dem Goldstandard Polysomnographie (PSG) verglichen – mit äußerst positiven Ergebnissen.
Researchers at UCSF and UCSD analyzed Oura data and self-reported depression symptoms to explore the link between depression and body temperature.
A group of pregnant women meditated daily for one month — here’s how it impacted their biometrics, according to Oura data.
In line with our commitment to women’s health equity, Oura is partnering with researchers at UCSF to explore how continuous physiological monitoring can be used to help women with irregular cycles and PCOS.
