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Smartwatches know you’re getting a cold days before you feel ill

After sensors alerted a researcher to Lyme disease symptoms he was unaware he had, his team have shown that smartwatches can tell if a wearer is getting ill
Man wearing smartwatch at train station
Wearables can keep watch for illness
WestEnd61/REX/Shutterstock

Once we had palm-reading, now we have smartwatches. Wearable tech can now detect when you鈥檙e about to fall ill, simply by tracking your vital signs.

at Stanford University in California experienced this first-hand last year. For over a year he had been wearing seven sensors to test their reliability, when suddenly they began to show abnormal readings. Even though he felt fine, the sensors showed that his heart was beating faster than normal, his skin temperature had risen, and the level of oxygen in his blood had dropped.

鈥淭hat鈥檚 what first alerted me that something wasn鈥檛 quite right,鈥 says Snyder. He wondered whether he might have caught Lyme disease from a tick during a recent trip to rural Massachusetts.

A mild fever soon followed, and Snyder asked a doctor for the antibiotic doxycycline, which can be used to treat Lyme disease. His symptoms cleared within a day. Subsequent tests confirmed his self-diagnosis.

Snyder and his team have now demonstrated that smartwatches can be used to detect the first signs of illness. More than 40 volunteers wore the devices for up to two years, which continuously monitored their pulse and skin temperature.

The team found the devices would record unusually high heart rates, and sometimes higher skin temperatures, up to three days before the volunteers had symptoms of a cold or other infection.

鈥淥nce these wearables collect enough data to know what your normal baseline readings are, they can get very good at sensing when something鈥檚 amiss,鈥 says Snyder. 鈥淲e think that if your heart rate and skin temperature are elevated for about 2 hours, there鈥檚 a strong chance you鈥檙e getting sick.鈥

Continuous tracking of your vital signs is more informative than having a doctor measure them once a year and comparing them with population averages, Snyder says. 鈥淗eart rate, for example, varies a lot so population averages don鈥檛 tell you much,鈥 he says.

Illness forecast

Snyder鈥檚 team is now hoping to build algorithms that will enable smartwatches to notify wearers when they might be falling ill. 鈥淚鈥檓 predicting that your smartwatch will be able to alert you before you get sick, or confirm that you鈥檙e sick if you鈥檙e feeling a bit off,鈥 he says. 鈥淚f your watch says you鈥檙e getting something, you鈥檒l know to go lie down instead of going out drinking and dancing.鈥

鈥淚t鈥檚 really exciting to consider how much earlier we could intervene to prevent somebody becoming seriously ill,鈥 says Meredith Makeham, chief medical adviser to the Australian Digital Health Agency. But she warns that patients and doctors should be aware of a device鈥檚 error rate, and whether it is being used in the recommended way.

, chair of the eHealth committee of the Royal Australian College of General Practitioners in Melbourne, says the technology could lead to unnecessary worry. 鈥淥ne of the major things we manage in general practice is anxiety 鈥 you get a lump or you feel a bit unwell, and you feel anxious about it,鈥 he says. 鈥淭here鈥檚 the risk that people will rush off to their GP because they have all these unexplained findings.鈥

Moreover, in many cases, knowing you might be about to get sick does not help you avoid it, Pinskier says. 鈥淚f you鈥檙e going to get the flu, you鈥檙e going to get the flu.鈥

PLOS Biology