Marco Altini
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What Is Behind Changes in Resting Heart Rate and Heart Rate Variability? A Large-Scale Analysis of Longitudinal Measurements Acquired in Free-Living

29/11/2021

 
Excited to share our latest paper on heart rate and heart rate variability (HRV):
  • 9 million morning measurements taken with HRV4Training over a period of 5 years 
  • Population-level analysis: relationship between resting physiology (heart rate, HRV) and age, sex, BMI, and physical activity
  • Acute stress responses analysis: relationship between resting physiology (heart rate, HRV) and training, alcohol, menstrual cycle, and sickness

This one has been in the making for a long time, and brings it all together: developing an accurate and affordable method to measure resting physiology, analyzing data at a scale that goes far beyond what we can do in the lab, and as a result, new, valuable insights

Give it a read, here
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Latest publication on HRV-guided training

24/11/2021

 
Professor Maria Carrasco-Poyatos and co-authors at the University of Almería just published the latest paper on HRV-guided training, titled "Heart rate variability-guided training in professional runners: effects on performance and vagal modulation"

Thank you Maria and co-authors for using HRV4Training and for involving me in this work. You can find the paper, here, including the main highlights:

  • HRV-guided training allows professional runners to achieve higher training intensities.
  • This is reflected in their cardiovascular performance and HRV enhancement.
  • The increment in HRV scores suggest better cardiovascular adaptations.
  • A polarized training is recommended to improve performance and vagal modulation.


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Heart Rate Variability (HRV) trends: going beyond daily scores

12/11/2021

 
Heart rate variability (HRV) trends over long periods of time (e.g. from weeks to months) are one of the most interesting and complex aspects to analyze when it comes to resting physiology

While day-to-day (or acute) changes reflect well stressors such as training intensity, the menstrual cycle, sickness, alcohol intake, or travel in the day(s) before the measurement, in the long term things are quite different

In this post, I will cover our approach to trends analysis in HRV4Training, and cover some of the features in the app that should help you make sense of the data in the longer term

Learn more, here
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    Marco ALtini

    Founder of HRV4Training, Advisor @Oura , Guest Lecturer @VUamsterdam , Editor @ieeepervasive. PhD Data Science, 2x MSc: Sport Science, Computer Science Engineering. Runner

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