The Overview page in HRV4Training pro shows your daily heart rate and HRV, together with normal values and baseline, to ease interpretation of your recent trends

In addition, you can also color-code the bars based on annotations such as alcohol intake or menstruation, as well as based on the daily advice, coefficient of variation and detected physiological response

In the latest update of Pro, available for any user when logging in at HRV4T.com, we also added a few tips and explanations that should help you better understand what could be behind a recent change in physiology, as well as how the different algorithms work

Here are a few examples. Recent literature as shown that during the luteal phase of the menstrual cycle, there can be a small drop in HRV. This is now reported in Pro when selecting Menstruation as annotation, as shown below:

When selecting the Daily Advice, we report more details on how the daily advice is built:

Here is an example for sick days:

And finally for the Coefficient of Variation, including an explanation of how to read the data:

We hope you'll find the new update helpful

Blog post by Marco Altini

​In the past few weeks I had the pleasure to get to know Francesco Cuzzolin thanks to our partnership with the EuroLeague Players Association

Francesco needs no introductions, but I’m gonna do it anyway: first European to become Head Strength and Conditioning Coach in NBA (@ Toronto Raptors), formerly at Benetton Treviso, Virtus Bologna, the Russian National Basketball Team and Italian National Basketball Team, lecturer in training / re-training and injury prevention at the University of Verona and of Padova, Research and Innovation Director for Technogym, currently personal trainer for Andrea Dovizioso

Francesco is also an expert in HRV monitoring, and has been using the available technologies for decades. Needless to say, we clicked

In the first episode of his new podcast, we tried to break down the science and application of HRV and stress monitoring with a lot of practical insights. I hope this will be a useful resource for anyone getting started with our technology and striving to get their athletes to peak performance

Link here

We have made a small change to the next version of the HRV4Training app on iOS and Android to allow you to quickly hide your daily score and historical data on race or match day. Needless to say, there are days in which we might not be able to do much about our physiological stress level (for example race day), or when the value might be less representative of a poor response, and simply affected by things such as race excitement, an isolated poor night of sleep, etc. 

All of these circumstances can still have a psychological impact for some, especially on race day. In the app, you can always hide your score before the measurement from Menu / Settings and unchecking the "Show daily advice" box. However, it might just be too many steps to remember first thing in the morning

Thus, in the next version of the app, you will be able to quickly hide your daily scores when filling in your questionnaire. First make sure to have the "training phase" tag enabled, as shown below:

Then, on race or match day you simply need to select "Competing | Hide HRV" and the app will not show you your score. On the following day you can simply select a different training phase to see your data again.

Alternatively, you can always re-enable your daily score by going to Menu / Settings and checking the "Show daily advice" box.
​

We hope you'll find this improvement useful. Enjoy and take care!

We are excited to share the news that we are partnering with ELPA, the EuroLeague Players Association

One of ELPA’s objectives is to provide its members services that help them maximise and prolong their careers

Therefore, ELPA and HRV4Training are announcing a multi-year deal that will allow ELPA members to benefit from a tool which measures their heart rate variability (HRV), and provides a detailed analysis of how their bodies react to their stress levels during the season. HRV4Training app will be used to monitor physiological responses to a busy schedule made of frequent games, traveling and all that elite sport such as professional basketball encompasses

Boki Nachbar (Managing Director, ELPA): “We continuously seek for ways to help our members take advantage of newly accessible technologies for professional athletes, such as HRV4Training. Especially in current climate players need to understand how their bodies react to various intense moments that happen during the season. Mastering that understanding will help them to better control the stress and it can therefore prolong and enhance their careers."

Thank you and all the best for the upcoming season

Blog post by Marco Altini

​We are collaborating with the College of Health and Human Sciences at Kansas State University for a (remote) research study on HRV  and cycling performance

In particular, the purpose of this study is to determine if cycling endurance performance is altered when an individual has a change in their 7-day average heart rate variability. This study will provide insights to individual exercise prescription regarding when to appropriately decrease exercise intensity or duration in response to changes in the cardiovascular system

If you are interested in participating, please read below and apply here

Who can join the study?

• Own a bicycle and indoor bike trainer
• Own a heart rate monitor (watch or chest strap)
• Own a cycling computer or cycling performance application
• Between the ages of 25-64 years
• English speaking
• Own a smartphone 

What is required during the study?

• Complete health, demographic and cycling equipment questionnaires.
• Record your morning HRV throughout your study duration.
• Maintain your current cycling/exercise routine.
• Perform six (6) 40-minute time trials.
• Record and submit all time trial data
• Complete a 24-hour nutrition recall after completing your time trial

Blog post by Marco Altini

If you have any questions or doubts before getting started with your team, feel free to send me a quick message on Twitter - we're here to help!

​
We have modified the Coach Panel in HRV4Training Pro to allow you to display the Overview page directly in the panel, without the need to navigate to each athlete's individual pages. You can choose between heart rate and heart rate variability, as well as add color-coding based on annotations.

The Overview page (more info here) is probably the most important single page in the platform, as it shows daily scores, normal values and baseline, making it really easy to quickly understand how things are trending, and how an athlete is responding to training and lifestyle stressors.

As you  can see from the images below, tapping "Show Overview" you will be able to see the plots directly in the Coach Panel, and save a little time during your daily check-ins. You can now also pick the type of physiological parameter (HR or HRV) and annotation (context, visualized in terms of color coding).

​We hope you'll enjoy the new feature, which you can try at HRV4T.com

Below you can see a few screenshots of this new functionality.

Blog post by Marco Altini

In this video with Rebecca Caroe at the Rowing Chat, we discuss:

• Physiological stress
• What is heart rate variability (HRV)
• Controlling HRV
• Application in elite sport

​Thank you for having us!

Blog post by Marco Altini

One of my favorite guest posts on our blog was written a few years back by Andrew Flatt. Andrew is a brilliant scientist and coach and has dedicated much of his time to investigating the relationships between HRV, training load and other stressors, in a variety of sports and athletes.

The full article focuses mostly on strength and power athletes, and can be found here. However, I believe some aspects are really applicable to any sport, and I'd like to report them here and show a little example using my own data collected with HRV4Training and the Pro platform.

Quoting Andrew:

"Highly trained individuals are more likely to see a pronounced decrease in HRV the following morning in response to a training session if: 

1. The training stimulus is considerably greater than the individual typically experiences (an abrupt increase in load

2. The training stimulus is novel or different from what the individual is accustomed

3. Training is otherwise normal, but non-training related stressors are affecting recovery" 

Point 3 is the one I'd really like to focus on in this post. Non-training related stressors are key. There's a whole body of research looking for example and how injury risk can increase due to high stress regardless of any changes in training, see psychophysiological models of injury for example. Needless to say, our capacity to handle stress is limited, and this exactly why HRV measurements are useful: they provide an overall marker of stress

In my view, non-training related stressors are an often overlooked great reason to use HRV monitoring, despite the fact we all understand well that if something is bothering us (issues at work, at home, financial concerns, etc) we can hardly focus and perform optimally.

As a recreational runner, I love to try to make a bit of progress, pushing myself to higher loads from time to time. When I manage to do so gradually and consistently, over longer periods of time ( > than a year for example), I do not expect my HRV to drop during an acute high-load block, as my body is well conditioned, and should assimilate the stimulus properly.

When we add other stressors though, the situation can easily change, and this is exactly why it is important to objectively monitor physiological stress and individual responses to stress (in a generic way), so that we can get the full picture. It would be really naive to think that the only thing that matters is training, and all we do in the remaining 22-23 hours of our day is irrelevant.

​Lets look at some data:

Above we can see three plots, with daily measurements collected over 3 months, first thing in the morning using the HRV4Training app:

• Physiological data (heart rate variability). Here is how we show historical data or normal values (light blue band), baseline (blue thick line) and daily scores (light gray bars) to make it easier to look at the big picture in HRV4Training Pro. You can find more information about how to use this visualization, here. 
• Training load: in this case I am using running distance, and showing a period of high load (in orange we have the acute load, and in blue the chronic load, when the acute load is higher than the chronic, it means that on a given week we are loading more than we are normally used to). We can also see how HRV data looks really good during this period of load, with the baseline increasing over time (anything that is an increase or a stable baseline during a high load period is typically a good sign, positive adaptation)
• Subjective data: in the last plot I annotate my "lifestyle stress" subjectively, based on how stressful my days have been. Note that we always advocate integrating these three aspects (physiological data, training load and subjective data) so that you have the full picture for yourself or your athletes, and can improve the decision making process. Here we can see how work stress increases quite a bit in the last period, while it was very low earlier. As stress increases, my HRV drops (the same situation can actually be seen at the beginning of the three months). We have recently added normal values to the subjective data as well, to make it easier to spot significant trends, and not only normal day to day variations.

We can also look at the correlation between physiological data and subjective metrics, in the Explore Correlations page that you can find under Insights in HRV4Training Pro:

In the plot above we can see again the strong baseline correlation between heart rate variability measured first thing in the morning, and lifestyle stress. As you can see "work stress" for me is typically the largest factor behind drops in HRV, especially when looking at the big picture (baseline more than day to day correlations).

Alright, hopefully this post gives you a more practical view of what to expect and how to interpret the data, always remember that multiple stressors play a role at the same time, and it is therefore beneficial to look at the data over longer periods of time, including normal values and baseline changes, and contextualizing physiological data (HRV or HR) with respect to your subjective annotations and training load. This is all computed for you in HRV4Training Pro.

take care!

We are starting our first partnership at HRV4Training in the Bundesliga today, with Hannover 96

Wishing the best for the upcoming season to the club. Thank you Tobi for your support!

🔬📲 ⚽️ 🇩🇪

Blog post by Marco Altini

​We put together a deck with practical information for players of organizations relying on our platform or simply getting started with measurements of resting physiology. Learn more below.

Blog post by Marco Altini

​We have just released an improvement to the correlations analysis in HRV4Training Pro, which now adds color coding to make it easier to spot stronger relationships between your annotated tags and your physiological data.

​You can try the new feature on HRV4Training Pro for free at this link, or use code SCIENCE for 15% off any package.

The correlation analysis in HRV4Training Pro lets you pick any timeframe between 30 days and 2 years. However, in general, we think that using a time frame between 60 and 90 days is ideal. 

Why  is that? Most likely the stressors you face will change over time, and similarly your response to certain stressors will change, therefore we believe it can be more helpful to look at these relationships in the relatively short time frame (e.g. 60-90 days), to get a better idea of what factors are influencing your physiology the most. Shorter windows (e.g. 30 days) might not have enough data, unless some really large stressor was present (for example if you go from sea level to 2000m / 6000ft of altitude, then you will certainly see a strong correlation between resting heart rate and altitude), otherwise it might be better to extend the window. On the other hand, longer windows (e.g. a whole year) might fail to capture more complex, multidimensional relationships between various training and lifestyle aspects, and your physiology.  

Finally, we would recommend to look at baseline correlations, more than day-to-day correlations. Baseline correlations are computed on the 7 days moving average of each variable, and therefore provide a more stable trend of the data. Typically, this is more insightful than to look at the individual data points, especially in the longer term.

Below you can seen an example:

• Negative correlations are shown in yellow. Remember that negative means that for example your HRV goes up while the other parameter goes down. It does not mean that this is a bad thing! If you have a negative relationship between life stress and HRV it simply means that your HRV goes up when  your life stress goes down, as show here for my own data.
• Positive correlations are shown in blue, in this case a higher HRV is associated with a higher value for a given parameter, for example mental energy in my case

and here is the actual data for the strongest correlation in my data, which is 'lifestyle stress', a tag I use to represent work-related stress:

The important part after you start looking at these correlations, is not to jump to conclusions. For example, it could be that the relation you are seeing is actually caused by another variable excluded by the analysis. However, this can be a useful starting point to explore your data, and we hope the new color-coding will make it a bit easier.

Enjoy

We are excited to start a new partnership for the upcoming season, providing direct integration between HRV4Training and The Australian Institute of Sport (AIS) athlete management system

> The AIS is Australia's strategic high-performance sport-agency, which leads and enables a united and collaborative high-performance sport system that supports Australian athletes to achieve international podium success

We wish the best to all athletes at the AIS and hope HRV4Training will make it easier to capture the athletes' response to training and lifestyle stressors, therefore enabling the coaching staff to further individualize training

Aerobic efficiency relates to your ability to sustain a given workload. Good endurance athletes tend to have high aerobic endurance, meaning that they can sustain a relatively high workload (for example pace or power), at a relatively low effort (typically measured in terms of heart rate).

To determine your aerobic efficiency we compute the relation between output (pace or power) and input (heart rate). Intuitively, a lower heart rate for the same output (pace or power), when consistently shown over periods of weeks, translates into better aerobic efficiency.

Similarly, a higher power or faster pace at the same heart rate is linked to improved aerobic efficiency. By analyzing the relationship between input and output for running or cycling activities, you can easily track aerobic efficiency changes over time, as you progress with your training.

You can do so in HRV4Training Pro, under Insights / Aerobic  endurance.

The  aerobic efficiency feature in HRV4Training Pro can help you better understand if your training is progressing well, without the need for specific testing. As you go for example from the off season to your base (or other) training phase, you should see your aerobic efficiency improve as your pace gets a bit quicker  at a given heart rate for example. 

Similarly, you could use aerobic efficiency to capture your response to environmental factors such as a training camp at altitude. During my research I have used exactly this principle for example to determine which athletes have or have not adapted to a training camp at altitude, based on their aerobic efficiency getting back to pre-camp values, or failing to do so  (you can learn more here).

Football season is starting again in Italy. Busy weeks with a packed schedule post-quarantine, while the players work on getting back in top shape

A pleasure to start a new collaboration with Venezia FC during these times. We hope HRV4Training will be helpful to monitor internal load and individual responses to stress

⚽️ 🔬📲

Riparte il campionato post-quarantena, impegni frequenti e condizione da recuperare. Un piacere collaborare con il Venezia calcio durante questa ripresa

Speriamo che HRV4Training via sia utile per monitorare al meglio i carichi in questo finale di stagione

Grazie Fabio e Davide. Forza Venezia!

Blog post by Marco Altini ​

Alejandro Javaloyes and co-authors have been working for quite some time already on HRV-guided training, which we have discussed earlier with Alejandro himself. 
​
In this study, the authors put to the test standard block periodization vs HRV-guided training, showing better results for the HRV-guided approach.

​Let's look at the details of this study, before we cover how you can use the same approach in your own training.

HRV helps us to quantify individual responses to stress (you can find plenty of case studies here). The hypothesis for HRV-guided training is therefore that by providing the most appropriate training stimuli in a timely manner, when your body is ready to take it, positive adaptations will occur and you will be able to improve performance. Normally a timely manner means when your daily HRV or baseline HRV is not suppressed, with respect to your historical data.

In their previous paper Alejandro and co-authors already showed how HRV-guided training could lead to better performance, and reported: "hypothesis for this greater adaptation to training for the HRV guided group is in line with the idea of performing high intensity training when the athlete is in optimal conditions to perform it. Therefore, these differences in PPO changes may be due to a better timing in the programming of high intensity training”.

Needless to say, our capacity to handle stress is limited, and while periodization is possibly an important starting point, we need to be able to add flexibility and provide the right stimulus at the right time, which is  what HRV allows us to do.

For this study, the authors used the HRV4Training app to collect data first thing in the morning. 20 well trained cyclists were split into two groups, an HRV-guided group and a control group. The HRV-guided group used our app to collect rMSSD data, which was then transformed (taking the logarithm, this is the same transformation we have when we report you Recovery Points, with the only difference that we also multiply it by 2 to make it a bit more user friendly, as it ends up in a 6 to 10 range for most people). 

The data was used as follows: when the HRV baseline fell outside the normal values for an athlete, training intensity changed from high intensity training to low-intensity training or rest. 

There's a lot in this paper that is worth mentioning, in terms of two aspects

• Performance outcomes
• Physiological changes

While it is obvious that the main goal here is to improve performance, looking at physiological changes between the baseline and load periods paints a clear picture that we have seen over and over also in team sports: athletes that cope better with the load, or struggle less to adapt, have a physiological profile that typically results in stable baseline HRV and reduced coefficient of variation (CV) . The interesting bit here is that by using HRV-guided training, we are able to avoid those periods in which the athlete struggles more (and indeed the data in the paper shows reduced CV and stable HRV only for the HRV-guided group, since high intensity training was not performed when things were not looking great). As a result, we'll see below that performance benefits too.

This is something that came up also recently in my research on elite triathletes going to an altitude training camp, where the athletes that adapted better to the new stressor (in my case altitude), did not experience an abrupt change in the CV, while athletes that struggled to adapt, had a much higher CV at the beginning of the camp (hopefully I'll be able to share more on this later on).

Back to the study, in terms of performance measures: cyclists performed: (a) a graded exercise test to assess VO2max, peak power output (PPO), and ventilatory thresholds with their corresponding power output (VT1, VT2, WVT1, and WVT2, respectively) and (b) a 40-minute simulated time-trial (40 TT). The HRV-guided group improved VO2max, PPO, WVT2, WVT1 and 40 TT, while the regular block periodization group improved only WVT2.

As mentioned by the authors in their discussion: "Despite the beneficial effects reported by block periodization models, concentrated workloads without valid and reliable measures of the response to training could lead to an overreached state that limits training adaptation. In this study, HRV was used to determine whether athletes were able to perform high-intensity training" and concluding: "The evidence from this study gives further supports to the notion that HRV is a valid and reliable tool to detect the daily recovery/fatigue and subsequently prescribed training in well trained cyclists. Thus, the implementation of daily HRV measurements and practical methodologies to change the training prescription on a daily basis could lead to better timing in prescription, thereby giving greater insight into the programming puzzle and optimizing training regimes to enhance both fitness and performance"

This approach has shown to be effective in a few studies already:

• Vesterinen et al. in runners
• Javaloyes et al. in cyclists
• ​The current study

The good news is that it can be easily implemented for you and your athletes, as all you have to do is to scale down the planned intensity when your HRV is suppressed. For example in the figure below, you would reduce intensity starting around the days where you see the baseline going below the athlete's normal values, as shown in HRV4Training Pro:

This method makes intuitive sense, as our capacity to handle stress is limited, you do not what to go really hard when your body is already struggling to manage stress (and remember, stress means both training and non-training related stressors, which is why HRV data is particularly relevant, and monitoring training load alone is insufficient - ​check out this case study for a clear case of psychological stress).

Personally, I believe this paper is what I've been working for in the past decade. It doesn't take much to understand that our capacity to handle stress is limited, and that stressors (training as well as lifestyle) can be better balanced by most of us.

It is however far from straightforward to develop valid, reliable and easy to use instruments that can enable this process, to the point that new research and practical insights can be derived consistently by the use of such an instrument. 

For years, the belief was that it was impossible to measure HRV accurately using a phone camera, which is something now pretty much everyone takes for granted. Similarly, there was a lot of confusion on metrics and how to interpret them, and hopefully visualizations such as the ones we have provided showing daily scores, baseline and normal values, as well as our guides and case studies, are finally making this process much clearer too. These methods, are the same adopted in the study above. 

I hope our tools and these studies will help you making the most of something as simple and as powerful as measurements of resting physiology.

We recently put together a series of posts that cover many aspects of HRV measurement, data interpretation as well as plenty of examples that you can look at to better understand how to make use of the data, and how HRV relates to training and lifestyle stressors.

​Check them out at these links:

• Part 1: Measurement setup, best practices and metrics
• Part 2: Interpreting your data
• Part 3: Case studies and practical examples
• Part 4: Common misconceptions

We have modified the Coach Panel in HRV4Training Pro to allow you to display the Overview page directly in the panel, without the need to navigate to each athlete's individual pages.

The Overview page (more info here) is probably the most important single page in the platform, as it shows daily scores, normal values and baseline, making it really easy to quickly understand how things are trending, and how an athlete is responding to training and lifestyle stressors.

As you  can see from the images below, tapping "Show Overview" you will be able to see the plots directly in the Coach Panel, and save a little time during your daily check-ins. We hope you'll enjoy the new feature, which you can try at HRV4T.com
​

If you are familiar with our work or the way we normally talk about HRV, that's probably the first question that comes to mind

HRV analysis can be used for various applications. What we do at HRV4Training is to quantify baseline physiological stress (what we could call "chronic" stress), and how this changes in response to training and lifestyle over periods of weeks or longer. To quantify baseline physiological stress, our measurements need to be taken in a very precise moment, which is first thing in the morning, so that we can avoid the effect of confounding factors. You can find a few examples here

By capturing changes in resting physiology, we can provide useful feedback that helps individuals to make meaningful adjustments to better balance training and lifestyle. This is particularly relevant as we all respond differently even to the same stressors depending on various aspects (how novel is the stressor, how much of that stressor we are used to take, what other stressors are present), hence only by measuring our individual response we can figure out if it's all proceeding according to our plans or not

Normally we would recommend doing biofeedback exercises as an add on the regular morning measurement done with HRV4Training. Combining biofeedback with morning measurements taken with HRV4Training, you could see also potential changes in baseline chronic physiological stress as measured in a known context (first thing in the morning), as a result of your biofeedback sessions

In the next weeks, we'll start beta testing our new product, specifically designed for biofeedback. Visit HRV4Biofeedback.com to learn more

We've talked many times about how HRV is a particularly useful marker as it captures stress regardless of the source. In the context of training, this is helpful because the way we respond to a stressor (for example a workout) can depend not only on the stressor itself (novelty, volume, intensity) but also on what other stressors are present (poor sleep, traveling, work-related stress, family worries, etc.) - and needless to say, our capacity to handle stress is limited. Measuring  HRV allows us  to capture our individual  response to everything that is going on from training to lifestyle, and make adjustments when necessary

The recent events with the global pandemic put most of us in a position that caused additional stress. Here is another clear example of how psychological stress can have a large influence on our physiology, even in the absence of training. Raul is a marathon runner from Spain, one of the countries hit the hardest by the global pandemic, and with the most strict contentment measures in terms of the enforced lockdown

We can see in the data below how after the first few days of the lockdown, the baseline starts to lower. Within a week or two, the baseline is below Raul’s normal values, a clear sign of high stress

This data once again speaks to how naive it is to think that HRV should only be associated to training, as we have discussed in our blog post on common misconceptions. As things slowly improve out  there, Raul's physiology is getting back where it was. Thank you Raul for sharing this data, and all the best for your training and health

Special thanks to Rob Wallace for inviting Marco to speak to triathlon coaches in Australia about HRV and our work with HRV4Training. In the one hour webinar, we cover:

• Theory about heart rate variability
• How to collect data (available technologies)
• Guidelines (measurements, confounding factors)
• Data analysis and interpretation (normal values, case studies)
• HRV4Training Pro & teams 

​
The webinar was recorded and is available at the link below. Enjoy.

Check out the latest episode on the Oxygen Addict triathlon podcast, featuring our work and a lot of practical tips on how to use HRV4Training and heart rate variability to make adjustments to your training 

Dr. Marco Altini is the creator of the HRV4Training App. In this episode, we dive deep into heart rate variability, and why it might well be the most important training tool to getting the most out of your limited training time! ​

​Thank you Rob for having us!