The new Heart Rate Recovery (HRR) feature from Firstbeat Sports provides an additional tool for coaches to assess the status of their athletes, giving further insights into conditioning and recovery status.
The feature itself identifies the best HRR from your specific time (e.g. a session or drill) for 30s, 60s, and 120s, and it provides both absolute (bpm) and % HRmax values, making it easy for you to track the metric from whichever period you desire. And because it automatically detects the best recovery you don’t need to be too precise in specifying where to begin the assessment from, making your job even easier and allowing you to spend more time focusing on working with your athletes.
Why is HRR Important?
It’s been shown to have good correlations with changes in performance in endurance testing (Malone, et al., 2017; Veugelers, et al., 2016), helping you keep track of athletes conditioning without having to spend valuable training time on maximal testing protocols. Instead a short Sub-Maximal Fitness Test (SMFT) can be performed in as little as 4-minutes, providing you with reliable data upon which to base your assessment of current performance levels (Scott, et al., 2022). This could easily be done as part of a warm-up each week, having minimal impact on training time or fatigue levels. It might be as simple as 8 x100m shuttles for 4 minutes, which is a steady jogging pace of 3.33m/s (12km/h), after which your athletes have a static recovery for 2 minutes (Rabbani, et al., 2018).
What Does the Above Look Like in Practice?
When you’ve conducted your SMFT and downloaded your data post session, create a lap/drill to capture the test itself and the 2-minutes post-test. The analysis library will automatically calculate the peak HRR from your defined drill for 30s, 60s and 120s. You could also take the HRR values for the whole session but keep in mind these might not be from straight after the SMFT, so for accurate and reliable tracking over time it’s best to define the relevant periods.
If you are able to administer your chosen SMFT at regular intervals and collect repeated measurements for an athlete, you will be able to gain insights into their cardiovascular condition. For example, Athlete A initially shows 60s HRR of 10% at the beginning of pre-season, but by the time the competitive season begins they are showing HRR of 20%. This likely means their conditioning has improved. Of course, the more regularly you can collect data the better, to help make your data more reliable and allow firmer conclusions to be formed. Regular testing helps smooth out any natural fluctuation and variation in performance.
HRR essentially reflects parasympathetic reactivation following exercise, i.e., recovery. (Bellenger, et al., 2016); an individual with greater cardiovascular fitness is able to recovery quicker than someone of lower fitness. However, while HRR reflects parasympathetic reactivation after acute exercise some caution should be exercised when trying to assess more global recovery status or readiness with it (Shushan, et al., 2022). A number of factors mean it may not reflect these aspects as well as they do performance condition, and therefore recovery/readiness is likely better assessed using a Heart Rate Variability test such as our Quick Recovery Test.
The Heart Rate Recovery Feature is available to all customers for free for one month.
Following the one month trial period, Heart Rate Recovery will be available to all Premium+ customers or as an upgrade module for everyone else. Existing customers can contact your account manager or firstname.lastname@example.org to discuss your options further.
Bellenger, C.R., Fuller, J.T., Thomson, R.L., Davison, K., Robertson, E.Y., & Buckley, J.D. (2016). Monitoring Athletic Training Status Through Autonomic Heart Rate Regulation: A Systematic Review and Meta-Analysis. Sports Med, 46, 1461–1486.
Malone, S., Hughes, B., Roe, M., Collins, K., & Buchheit, M. (2017). Monitoring Player Fitness, Fatigue Status and Running Performance During an In-Season Training Camp in Elite Gaelic Football. Science and Medicine in Football, 1, 1-8.
Rabbani, A., Kargarfard, M., & Twist, C. (2018). Reliability and Validity of a Submaximal Warm-up Test for Monitoring Training Status in Professional Soccer Players. Journal of Strength and Conditioning Research, 32 (2), 326-333.
Scott, T., McLaren, S., Lovell, R., & Scott, M., & Barrett, S. (2022). The Reliability, Validity and Sensitivity of an Individualised Sub-Maximal Fitness Test in Elite Rugby League Athletes. Journal of Sports Sciences, 40, 1-13.
Shushan, T., Lovell, R., McLaren, S. J., Buchheit, M., Scott, T. J., & Barrett, S. (2022). Submaximal Fitness Tests in Team Sports: A Theoretical Framework for Evaluating Physiological State. https://doi.org/10.31219/osf.io/ry3pu
Veugelers, K., Naughton, G., Duncan, C., Burgess, D., & Graham, Stuart. (2016). Validity and Reliability of a Submaximal Intermittent Running Test in Elite Australian Football Players. Journal of Strength and Conditioning Research, 30.
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