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WHOOP Podcast

HRV 101: Insights From the WHOOP Podcast

WHOOP Podcast

WHOOP

Recovery, Health, Life Sciences, Data, Optimize Performance, Science, Hrv, Fitness, Wearable, Health & Fitness, Sports, Strain, Whoop, Sleep

4.6690 Ratings

🗓️ 28 July 2021

⏱️ 35 minutes

🧾️ Download transcript

Summary

One of the best metrics to determine your physical fitness and your body’s readiness to perform is heart rate variability. We’re bringing you some of our top WHOOP Podcast conversations on HRV to date, detailing everything you need to know about HRV, what it signals about your body, and what you can do to optimize it. Kristen Holmes and Emily Capodilupo explain the basics about HRV (2:17), the factors that increase or decrease your HRV (5:42), and why HRV is a highly personalized metric...

Transcript

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0:00.0

What's up, folks? Welcome back to the WOOP podcast, where we sit down with top athletes,

0:09.2

scientists, experts, and more to learn what the best in the world are doing to perform at their

0:14.9

peak and what you can do to unlock your own best performance. I'm your host, Will Ahmed,

0:20.6

founder and CEO of Woop, where we are on a mission to unlock your own best performance. I'm your host Will Ahmed, founder and CEO of Woop,

0:22.6

where we are on a mission to unlock human performance. On this week's episode, we're going back

0:28.9

to the basics and talking about one of the most important metrics that affects your ability

0:33.4

to perform, heart rate variability or HRV, as you'll see in the Woop app. We're compiling our top

0:41.2

episodes on HRV over the past two years to help you understand what it is, why it's important

0:47.0

to track, and what you can do to optimize it. You know, when I first got interested in this

0:53.1

space, I was doing research at Harvard, and

0:55.6

heart rate variability was one of the most fascinating statistics that I discovered.

1:00.1

This would have been 2010, 2011.

1:02.3

The studies at the time were a small number of studies.

1:05.6

We're talking about 10 people, 12 people at a time being measured by electrocardiograms, but they were fascinating

1:12.4

results. Olympic power lifters using heart rate variability to predict how much weight they should

1:17.8

lift. The top cyclists using heart rate variability to determine what their load should be the

1:24.7

next day. The CIA using heart rate variability for lie detection tests.

1:30.9

Cardiologists using heart rate variability to predict whether former heart failure patients would

1:36.8

have a heart attack. This is a truly fascinating statistic and a lot of the origins of WOOP or this

1:43.2

idea of what if we could take heart rate variability

1:46.0

and measure it continuously and non-invasively.

1:49.5

And that was really the breakthrough with the original WOOP 1.0, which goes back to 2012,

...

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