HRV4Training Pro: Coach Panel
HRV4Training Pro: Coach Panel
User guide index: https://marcoaltini.substack.com/p/hrv4training-pro-user-guide
HRV4Training Pro provides all functionalities and insights listed here, plus a few extra, for coaches that wish to use the platform with their athletes, as well as teams.
In particular, you will be able to:
Receive and synch your athletes' data right after they've taken the morning HRV measurement, from iPhone and Android clients., so that you can analyze their data remotely.
Monitor daily values and deviations from your athlete's baseline to make meaningful adjustments to training programs. The athletes’ list provides an overview of the daily advice, daily HRV, and subjective metrics so that you can get an overview of your entire team and take action without having to go through all the data for each individual athlete.
Group and filter athletes.
Remotely configure all tags your athletes should be using, optionally hiding the daily advice.
Export all data as csv files
Customer support
When you start using HRV4Training Pro you will see an empty panel, where you can add athletes:
Tapping add athlete brings you to the following page, where you can enter the email that the athlete registered in HRV4Training as well as their name and a picture (optionally):
Once you have sent the request, it will appear at the bottom of the coach panel, waiting for the athlete to accept it:
If you made a mistake when entering the data, you can tap the athlete mail and edit the data or delete the request:
Your athlete will need to accept the data-sharing request from their app, under Menu / Settings / Data sharing settings with HRV4Training Coach
At this point, when requests are accepted, the coach panel will start populating, and you will see your athletes. Below is an example:
In the coach panel, you can see:
daily HRV at the top left of the graph
graph with daily HRV, normal range (shaded area), and 7-day moving average (blue line)
current normal range
subjective score
daily advice
You can change parameters and color-code them, for example below I selected heart rate instead of rMSSD, and used the detected trend to color-code the bars:
You can see that when changing parameter, the normal range changes accordingly, as it is now showing the normal range for heart rate.
Tapping the name of the athlete, you can navigate to each individual insight, or edit or remove the athlete:
When you select a specific page for an athlete, in that page you will see an additional panel at the top, which allows you to:
quickly look at the same insight for other athletes, by changing the selected athlete
quickly move to other insights for the same athlete, without going to the coach panel again
In the coach panel, you can also overlay the mouse to the subjective score to see the breakdown of the various subjective parameters as they have been annotated by the athlete in the questionnaire:
As shown above, the subjective score is a combination of sleep quality, motivation to train, perceived performance in training, and muscle soreness, in the past few days.
In terms of other functionalities, you can edit the questionnaire so that your athletes do not have to do it themselves from their apps. Make sure to do this before you send out requests, or at least before they are accepted:
And you can export the data of the past 3 months to csv file:
Finally, you can edit your team information in your Profile, tapping your name in the top right corner:
and then selecting the Team tab:
In the team tab, you can decide to show the coach panel as the default screen instead of the overview page with your own data, in case you prefer to do so or you do not use the app yourself.
I hope you’ll like the new Coach Panel and the improvements we implemented.
Please feel free to comment below in case of any questions or feature requests.
Thank you for your support.
Marco holds a PhD cum laude in applied machine learning, a M.Sc. cum laude in computer science engineering, and a M.Sc. cum laude in human movement sciences and high-performance coaching.
He has published more than 50 papers and patents at the intersection between physiology, health, technology, and human performance.
He is co-founder of HRV4Training, advisor at Oura, guest lecturer at VU Amsterdam, and editor for IEEE Pervasive Computing Magazine. He loves running.
Twitter: @altini_marco
