September 6, 2017

Your resting heart rate (RHR) is the number of times your heart beats per minute while at rest. It’s an important number to monitor, because it’s both a strong indicator of your overall health and fitness level as well as a highly correlated to disease and mortality. Let’s walk through how Motiv Ring calculates your resting heart rate and how you can use that data to improve your heart health.

How Motiv Ring tracks RHR
Motiv Ring uses your heart rate data from when you’re asleep to calculate your resting heart rate, in order to get the most reliable and least confounded measurements. This makes it easy to consistently measure data the same way, with the same conditions, every night.

Track changes over time
By monitoring how your resting heart rate changes over time, you can see what lifestyle changes – good or bad – have an impact on your overall health. If you see your RHR go down over time as a result of exercise, that’s more important to track than how your RHR compares to others and can indicate improvements in your fitness.

How to improve
Your resting heart rate can be impacted by many different factors. See below what you can do to lower your RHR and what you can do to avoid increasing your RHR.

Factors that can increase RHR

  • Gaining weight
  • Illness or disease
  • Stress; Overtraining
  • Poor diet; Dehydration
  • Not enough quality sleep
Factors that can decrease RHR

  • Maintaining a healthy weight
  • Stress management
  • Healthy diet; Hydration
  • Quality sleep
  • Getting regular exercise


By keeping an eye on your resting heart rate and how certain lifestyle habits impact it, you can learn how to improve your overall health and fitness. You may find that getting just a couple more hours of sleep makes the biggest difference on your RHR. Or you might learn that it takes you a couple of days to recover from a vigorous workout, helping you avoid overtraining. Motiv Ring effortlessly tracks your RHR for you every night and helps you see how you’re trending, making it easy to see patterns over time.

References:
Harvard.edu
Mayoclinic
CNN