, then process that information into an algorithm to interpret what’s happening in the brain. Sometimes the algorithm correctly identifies the corresponding sleep stage, but often it doesn’t. Individual differences in movement and heart rate also make sleep stats difficult to measure on a device, says clinical psychologist and sleep specialist Michael Breus, Ph.D.
“For athletes, I look at total sleep time, since that has a reasonable degree of accuracy, then use that to transition the conversation to sleep habits,” says endurance coach Jason Koop, head coach forHeneghan notes that looking at the data pattern over time is the best way to use wearable trackers to measure deep sleep. “If your [tracker indicates that] you’re getting one hour of deep sleep, and you give up caffeine and find you’re getting 80 minutes, that’s a significant result.
Still, technology is evolving quickly, and new offerings are in the pipeline. Fitbit Premium’s new “restoration” score is more about quality of sleep than quantity: it uses a combination of physiological metrics that correlate with sleep quality like total sleep, and nighttime heart rate, to tell users how restful their sleep was.
Then again, you may want to try a low-tech approach to sleep tracking: pencil and paper. Certified sleep health educator and sleep coach Martin Reed, M.Ed., recommends using an analog to track when you go to bed, when you get up, and the way you feel after sleeping. “How you feel, how well you’re performing, and overall sleep time are probably the best measures of sleep quality.”
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