A new study suggests your device could provide an early warning.
were calculated, and then deviations were identified weekly. That data was compared to estimates for influenza-like illness rates reported by the Centers for Disease Control .
Flu predictions were significantly improved by looking at rising resting heart rates and decreased sleep quality, said study authorEveryone has a unique resting heart rate, Radin told, and that rate begins to climb upward when there’s an infection, most likely as a response toThat inflammation and fever can also sabotage sleep quality, so when the two are paired up, there’s a higher risk that there may be an infection, she said.
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