Fitbit’s Sleep Profile characteristic provides upgraded monitoring for Premium subscribers

is delving additional into sleep monitoring with a brand new characteristic for . Sleep Profile will study 10 metrics, together with new ones like time earlier than sound sleep, disrupted sleep and bedtime consistency. Fitbit goals to offer a extra in-depth have a look at an individual’s sleeping habits over time by way of month-to-month studies.

Customers will obtain recommendation on tips on how to fall throughout the excellent vary for every metric, based mostly on their physique sort. The objective is to assist folks enhance their sleep and general well being. Fitbit notes the characteristic is not supposed for medical use.

To make use of Sleep Profile, you will must put on a appropriate Fitbit to mattress for not less than 14 nights in a calendar month. Fitbit says you will obtain a extra correct analysis the extra nights you put on it. Among the many different metrics the characteristic tracks embody sleep length, REM sleep and restfulness. 

Fitbit's sleep profile feature


The metrics will probably be proven on a month-to-month combination view for the primary time, Fitbit says. Sleep Profile will examine a person’s traits to what’s typical for his or her age and gender to assist them discover areas for enchancment. Fitbit says it’ll use animal characters to assist customers interpret their sleep knowledge. Your animal might change from month to month, however Fitbit says there is no “excellent” creature to purpose for.

The corporate, which says it has analyzed 22 billion hours of sleep knowledge since 2009, notes that the characteristic will probably be accessible on , Versa 3, Versa 2, Cost 5, and Encourage 2 gadgets on the outset. Customers will get their first report as quickly because the week of July 4th, with subsequent profiles showing on the primary day of every month.

Different smartwatch makers want to enhance sleep monitoring. Apple’s watchOS9 will introduce a that tracks REM, core and deep sleep phases over time.

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