Tracking circadian rhythms from your smartwatch

Date:
August 3, 2021
Source:
University of Michigan
Summary:
Smartwatches are handy devices for people to keep track of the
number of steps they take per day or to track their mile time
during a run. But they are also opportunities for scientists to
understand people's physiological processes while they are going
about their everyday lives.



FULL STORY ========================================================================== Smartwatches are handy devices for people to keep track of the number of
steps they take per day or to track their mile time during a run. But they
are also opportunities for scientists to understand people's physiological processes while they are going about their everyday lives.


==========================================================================
In particular, scientists have been interested in tracking people's
circadian rhythms through the biological data gathered by their
smartwatches - - specifically, their heart rate. Doing so would allow individuals to know the best times of day to sleep, eat, exercise or
take their medications.

At night, a person's heart rate lowers in order to conserve energy. During
a person's waking period, their heart rate speeds up in anticipation
of activity.

But the challenge has been figuring out a way to find the throughline
of a person's heart rate among all of the ways it varies throughout the
day, says Daniel Forger, a professor of mathematics at the University
of Michigan.

Now, Forger and his colleagues have developed a statistical method that accounts for all of the "noise" that might affect a person's heart rate
and extracts a person's circadian rhythm based on heart rate data provided
by their smart watch.

The circadian rhythm is an internal clock that synchronizes all of the physiological functions in the body. The master clock, located in the
brain's hypothalamus, oversees all of the millions of other internal
clocks in your body: Each cell has an internal clock, as does your heart,
the liver and the brain. In healthy individuals, these clocks are all
in synchrony. But studying this master clock is difficult -- especially
outside of a lab setting.

"I think a big question has been, can we measure circadian rhythms with wearables, and how can we do that?" said Forger, also a research professor
of computational medicine and bioinformatics at Michigan Medicine. "Heart
rate itself has a circadian rhythm, but it's complicated by a lot of
different things: You lie down and go to sleep, and your heart rate
drops. You go running and your heart rate goes way up.



==========================================================================
"The hard question was, how do we pull out that internal timekeeping
signal to know what time of day your body thinks it is from all of those
other signals out there?" The group's algorithm works by discarding data collected during sleep and focusing on data collected during a person's
waking period. Then, the algorithm, developed by study co-author and
former U-M postdoctoral researcher Clark Bowman, takes into account
whether a person's heart rate is affected by the person's activity
or cortisol because of exercise, posture or meals. The result is the
underlying daily timekeeping signal controlling heart rate.

To test whether this statistical method worked, the group used a
dataset from an ongoing study of medical interns, called the Intern
Health Study. The study provides more than 130,000 days of data from
900 interns who continuously wore wrist-based sleep-tracking devices
collecting motion and heart rate data.

Medical interns are good subjects to use in this kind of research because
they are shift workers, which means sometimes their work shifts change
from day to night from week to week.

"Smart watches collect heart rate data using optical sensors, which
aren't very accurate, and there are so many things affecting heart rate throughout the day that measurements tend to be all over the place,
so it's a big result to be able to identify a circadian rhythm in that
kind of data at all," said Bowman, now a professor of mathematics and statistics at Hamilton College.

"It's only possible since smart watches take measurements so frequently
and provide information about activity to help account for cardiac
demand. The sheer amount of data is just enough to see the background
trend of heart rate subtly rising and falling in time with a circadian
clock." In one example in the study, a person's sleeping and waking
patterns, as demonstrated by their heart rate, adjust quickly to their
changing work schedule. This means their circadian rhythm was able to
quickly adjust to a bedtime and waking time that was almost opposite of
what they had previously been experiencing.



========================================================================== Another individual's data, however, showed a different story. Their
circadian rhythm lagged behind their adjusted sleep schedule, which
likely means they were feeling pretty sluggish during the time they were adjusting to their new waking schedule.

This sluggishness is the same effect that those with jet lag
experience. Jet lag can occur when a person's heart rate isn't in sync
with their waking period. A slower heart rate can make a person feel
sleepy or sluggish.

Forger says the strength of using data from wearables means scientists,
as well as the person wearing the watch, can study a person's circadian
rhythm based on real-world influences, which has certain advantages over measuring circadian rhythm in a lab. The gold standard clinical study to
study circadian rhythm would be to measure a person's melatonin levels
over a period of six to 40 hours in a dark lab.

"We've shown that you can take a wearable signal and directly measure
circadian rhythms in the real world, and the real world has so many things
that affect circadian rhythms that you aren't going to measure in the
lab," Forger said, explaining that some of the data the team has had to
account for are extended periods of intense activity (a semiprofessional cyclist, for example). The method also does not account for effects
on heart rate such as caffeine, psychological stress, pharmaceuticals
and disease.

"There are some scenarios that you have to always be a little more
careful with, using real world data," he said. "But again we're going to
pick up other things you may not experience in a lab." The researchers
also developed the Social Rhythms app, available for iPhone and Android devices, where you can upload your wearable data and receive a report
on how your internal circadian clock has changed recently.

"Measuring that signal not only provides information about the body's
circadian timing, but also characterizes how each individual's heart
rate behaves," Bowman said. "We can use this information to track how the
body adjusts to new schedules, study how physical activity affects each individual's heart rate slightly differently, and even quantify the effect
of being active at different times of day on the body's internal clock.

"Smart watch users could have real-time information on their circadian
clock to help adjust to jet lag or shift work, manage circadian disorders
or identify abnormalities in heart rate which might present health risks." Co-authors of the study include Yitong Huang of Dartmouth College, and
U- M researchers Olivia Walch, Yu Fang, Elena Frank, Jonathan Tyler,
Caleb Mayer, Christopher Stockbridge, Cathy Goldstein and Srijan Sen.

========================================================================== Story Source: Materials provided by University_of_Michigan. Note:
Content may be edited for style and length.


========================================================================== Journal Reference:
1. Clark Bowman, Yitong Huang, Olivia J. Walch, Yu Fang, Elena Frank,
Jonathan Tyler, Caleb Mayer, Christopher Stockbridge, Cathy
Goldstein, Srijan Sen, Daniel B. Forger. A method for characterizing
daily physiology from widely used wearables. Cell Reports Methods,
2021; 100058 DOI: 10.1016/j.crmeth.2021.100058 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2021/08/210803121327.htm

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