Thank you for the great content! Easily understood information of a complex topic. HRV4TRAINING is proving to be a game changer for me with my training and ability to manage my overall health and fitness.
Are there fixed percentage values from which the coefficient of variation can be considered to recognize whether it is reduced or optimal? So, I think that %CV can be similar within intersubjects.
My experience is that my hrv stability doesn't correlate with hr response during subsequent intervals. like right now my hrv was within normal ranges and has been stable as of late (sleeping well, low stress) but i have recently added running and when doing intervals on the bike my peak hr is way below normal and i've been unable to complete workouts at planned pace, which i think is indicative of overload, general suppression of hr response during hard exertion. being a layperson i would have expected hrv suppression to be a leading indicator (morning of) inability to do hard training. is this an individual thing or am i incorrect that morning hrv trends should track that?
hello Zach. Normally, morning data should align with workout data when it comes to fatigue. As you say, this is sometimes counterintuitive: an acute suppression of HR during exercise (and similarly at rest, typically associated also with a higher HRV), might indicate fatigue, despite the fact that these trends, in the long term, are positive and often associated to improved fitness. This is why acute changes should not be interpreted in simplistic ways (e.g. higher is better for HRV, or the opposite for HR). If you have tracked for long, I would expect to see a change in your data with respect to e.g. months in which you did not have issues in performing your workouts, but individual variability always apply. Try to have a look at the following: normal range, baseline wrt normal range, as well as your coefficient of variation (stability) in different phases, and see which trends are consistently highlighting a positive (or negative) response in your case.
thanks Yonatan! I do not think we can define absolute ranges of variation, similarly to how we cannot define average HRVs as absolute values or absolute ranges based on other people data. In the app, we compute variation based on your historical data, so that the app can determine if it is stable, decreasing, or increasing, depending what is normal day to day variation for you.
Thank you for the great content! Easily understood information of a complex topic. HRV4TRAINING is proving to be a game changer for me with my training and ability to manage my overall health and fitness.
Thanks for te content! HRV4Training is brilliant.
Are there fixed percentage values from which the coefficient of variation can be considered to recognize whether it is reduced or optimal? So, I think that %CV can be similar within intersubjects.
My experience is that my hrv stability doesn't correlate with hr response during subsequent intervals. like right now my hrv was within normal ranges and has been stable as of late (sleeping well, low stress) but i have recently added running and when doing intervals on the bike my peak hr is way below normal and i've been unable to complete workouts at planned pace, which i think is indicative of overload, general suppression of hr response during hard exertion. being a layperson i would have expected hrv suppression to be a leading indicator (morning of) inability to do hard training. is this an individual thing or am i incorrect that morning hrv trends should track that?
hello Zach. Normally, morning data should align with workout data when it comes to fatigue. As you say, this is sometimes counterintuitive: an acute suppression of HR during exercise (and similarly at rest, typically associated also with a higher HRV), might indicate fatigue, despite the fact that these trends, in the long term, are positive and often associated to improved fitness. This is why acute changes should not be interpreted in simplistic ways (e.g. higher is better for HRV, or the opposite for HR). If you have tracked for long, I would expect to see a change in your data with respect to e.g. months in which you did not have issues in performing your workouts, but individual variability always apply. Try to have a look at the following: normal range, baseline wrt normal range, as well as your coefficient of variation (stability) in different phases, and see which trends are consistently highlighting a positive (or negative) response in your case.
Thank you very much for the content! I’m learning a lot.
I don’t use HRV4TRAINING but indeed following my morning hrv, what day to day variation is considered stable?
thanks Yonatan! I do not think we can define absolute ranges of variation, similarly to how we cannot define average HRVs as absolute values or absolute ranges based on other people data. In the app, we compute variation based on your historical data, so that the app can determine if it is stable, decreasing, or increasing, depending what is normal day to day variation for you.