Researchers have found that wearable devices can tell you in advance long before you get sick, and it can tell you when to see a doctor.
Engineers from Stanford University and the Department of Veterans Affairs in Palo Alto, California conducted experiments to collect data with commercial wearable devices, and researchers tried to find scientific conclusions from the data.
Researchers put wearable devices on volunteers, monitor data, analyze data, and then make algorithms to predict when users will get sick.
In more than two years, the researchers asked a man to wear seven different devices. The equipment tracks different data, such as activity, radiation and blood oxygen, and collects as many as 250,000 data points every day.
After analyzing the data, the researchers installed the equipment on 43 new volunteers. The device can record heart rate, skin temperature and activity data. The results show that everyone's body is very different, so it is necessary to carry out personalized analysis.
The research team looks at abnormal data. During four time periods, one participant's heart rate and skin temperature were too high. During these three periods, participants developed clinical symptoms, such as congestion, and were diagnosed with Lyme disease (an infectious disease with symptoms such as measles and fever caused by tick bites) for the fourth time.
Researcher Grace? Grace Peng pointed out that wearable devices can predict that a patient will develop Lyme disease before he has any symptoms. ?
During the monitoring period, three participants fell ill and their heart rates were above average. The researchers used these data to develop an algorithm that can judge whether the user has the possibility of getting sick according to the high heart rate.
Jessilyn Dunn, a postdoctoral researcher at Stanford University, said: It's really exciting to predict diseases just by consuming wearable data. ? The researchers pointed out that wearable devices can not be used for clinical diagnosis at present, but can be used to evaluate the overall health status.
If you live in the suburbs, the new technology is very practical. Dunn said:? It is not easy for some people to go to the clinic, where the health monitoring mechanism is not perfect. This technology can bring revolutionary changes to the medical model, which is really exciting. ?