Using Data from Wearables to Improve Sleep and Recovery with Chuck Hazzard of OURA – EP82

Using Data from Wearables to Improve Sleep and Recovery with Chuck Hazzard of OURA – EP82

Wearables afford us access to a significant amount of data. We can track everything from sleep quality to heartrate variability to exercise and recovery. But how accurate is the information we get from wearables? And what is the best way to use that data to identify patterns and make lifestyle changes with real impact?

Chuck Hazzard is the VP of Sales at OURA, the award-winning wellness ring and app designed to give users insight into their sleep, recovery and readiness to perform.  He is also a technology expert and wearables guru with experience designing computer networks, developing software applications, and building successful telecommunications businesses. Chuck earned his BA in Computer Science and Mathematics from the University of Maine, and he is a licensed Heartmath Provider.

Today, Chuck explains how the new OURA ring is different from the original model and how the user’s Readiness Score is measured. He addresses why the OURA HRV and Readiness Scores differ from other apps and wearables and answers criticism around the accuracy of OURA’s measurement of sleep stages. Chuck discusses why the OURA Ring may mistake the sleep time of a small number of users, how the OURA app determines a goal for the day, and how the device tracks both exercise and HRV. Listen in for Chuck’s insight on integrating OURA’s data with other apps and learn how to use the app to track the impact of lifestyle changes on your sleep and recovery!

Topics Covered

[1:00] How the new OURA Ring is different

Dramatically smaller, new colors
More memory (6 weeks of data)
Longer battery life
Wireless charger

[3:36] How the OURA Readiness Score is measured

Combines sleep with resting heartrate, temperature and HRV
Also accounts for previous activity

[6:17] Why the OURA HRV score differs from other apps

OURA measures during sleep (96 samples in 8 hours)
Noise, changes in breathing impact accuracy

[10:07] Chuck’s insight on OURA’s measurement of sleep stages

Validation study with Finnish government
Stanford study rings not fitted to participants
Wearables not perfect at identifying stages

[12:50] Why the OURA may mistake your sleep time

Relies on motion and temperature changes
Consider taking ring off to read, watch TV

[16:31] How the OURA Ring tracks exercise

Sensors detect motion, walking/running work best
Manually enter other kinds of activity (e.g.: cycling)
Will eventually be able to import from other apps

[20:18] How the app determines a goal for the day

Based on recovery (for average person)
Much lower if slept poorly

[23:15] How the OURA Ring tracks HRV

Infrared sensors during sleep
Light spectrum doesn’t tolerate movement
On-demand heartrate feature available soon

[25:19] Other ways to integrate OURA data

Apple HealthKit and Google Fit
Combine wearables with other data (e.g.: Heads Up Health)

[27:18] The OURA Ring’s finish

Wear lifting gloves or remove with weights
DLC coating very durable

[28:59] Chuck’s advice on the best use the OURA Ring

Focus on overall sleep, recovery scores
Work toward consistent sleep
Track impact of lifestyle changes (e.g.: alcohol)

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