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A recent study by Stanford University shows that wearables such as smart health connected bracelets or smartwatches, which constantly monitoring vital signs, are able to detect the appearance of a disease three days before symptoms are resolved. feelings.
As part of this study, 43 participants were provided with Basis B1 and Basis Peak bracelets, which they wore continuously for one year. All the information captured by these smart health connected objects, such as heart rate, skin temperature, number of steps taken, calories burned and quality of sleep, were then analyzed.
Admittedly, precision was not always there. However, permanent access to this data made it possible to use this information to visualize significant changes in real time. For example, fluctuations in one subject's heart rate and body temperature helped detect the Lyme patient's appearance, even though the person was feeling perfectly healthy. The suspicions of these strange changes were then confirmed by a doctor.
Other examples of disease-related changes in vital signs were noted during this study. Using these examples, the researchers were able to create an algorithm to predict the onset of a disease. The team is currently working on the development of these algorithms, for a future implementation on smart health connected watches and bracelets.
The study also showed that smart health connected objects can reveal the physiological differences between sensitive people and people who are resistant to insulin. It is therefore theoretically possible to use the sensors of smart health connected objects to detect the risks of type 2 diabetes.
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