Chart power-HR only last minutes of interval

[Potuz]

Hello, I'd like to plot a point for each interval with power higher than A Watts and length higher than B minutes the average power vs the average heartrate for the last C minutes. Is this possible? would I need to compile with R support? perhaps with CouldDB support and try to grab an existing chart? I'm sorry for the naive question I never used neither R nor CloudDB.

Best,

R.

[Ale Martinez]

El miércoles, 7 de marzo de 2018, 8:48:45 (UTC-3), Potuz escribió:

Hello, I'd like to plot a point for each interval with power higher than A Watts and length higher than B minutes the average power vs the average heartrate for the last C minutes. Is this possible?

The special case when B=C could be done using season.intervals in R or seasonIntervals in Python, for the general case a solution could be to add a custom metric to compute average power to average heart rate ratio for the last C minutes and then use it in the previous solution.

 

would I need to compile with R support? perhaps with CouldDB support and try to grab an existing chart? I'm sorry for the naive question I never used neither R nor CloudDB.

R or Python would work, I don't think there is a ready to use chart for this in the CloudDB, but you can look for yourself.

[Potuz]

On Mar 08, Ale Martinez wrote:
>El miércoles, 7 de marzo de 2018, 8:48:45 (UTC-3), Potuz escribió:
>
> Hello, I'd like to plot a point for each interval with power higher than A
> Watts and length higher than B minutes the average power vs the average
> heartrate for the last C minutes. Is this possible?
>
>The special case when B=C could be done using season.intervals in R or
>seasonIntervals in Python, for the general case a solution could be to add a
>custom metric to compute average power to average heart rate ratio for the last
>C minutes and then use it in the previous solution.
>

Thanks, I'll take a look. My system has already Python so I suppose it shouldn't take much to compile it with Python support. I've never added this sort of custom metrics, but it seems to me that it would take a toll on the CPU and loadtime I suppose.

I'm having trouble to estimate Areobic decoupling from instantaneous HR-PWR plots. Doing it from averages also does not seem to be a right measure since on an interval the HR looks more as a log while PWR would be essentially constant. I guess that over an interval of 8'-20' it's a big difference taking average HR after the plateau than from the beginning.

Cheers,

R.

> 
>
> would I need to compile with R support? perhaps with CouldDB support and
> try to grab an existing chart? I'm sorry for the naive question I never
> used neither R nor CloudDB.
>
>R or Python would work, I don't think there is a ready to use chart for this in
>the CloudDB, but you can look for yourself.
>

>--
>_______________________________________________
>Golden-Cheetah-Users mailing list
>golden-che...@googlegroups.com
>[1]http://groups.google.com/group/golden-cheetah-users?hl=en
>---
>You received this message because you are subscribed to the Google Groups
>"golden-cheetah-users" group.
>To unsubscribe from this group and stop receiving emails from it, send an email
>to [2]golden-cheetah-u...@googlegroups.com.
>For more options, visit [3]https://groups.google.com/d/optout.
>
>References:
>
>[1] http://groups.google.com/group/golden-cheetah-users?hl=en
>[2] mailto:golden-cheetah-u...@googlegroups.com
>[3] https://groups.google.com/d/optout

[Ale Martinez]

For the duration Aerobic Decoupling is intended to be used such effect is minimum, see https://www.trainingpeaks.com/blog/aerobic-endurance-and-decoupling/

[Potuz]

Perhaps I shouldn't call it Aerobic Decoupling cause that might even be a trademark of TP :-), but I find that measure there not really controlled as many factors can influence HR during a long ride besides fatigue: (de) hydration, intensity of the first half, etc...

I think measuring the power output at a given heartrate is a good indicator of fitness but for controlled intervals in the Z4-Z5 range (at least I'm consistently getting better during the season in this metric, and consistently getting worse after vacations).

But the chart of HR vs Power in GC (or WKO for that matter) I can't really extract much info from it as the points scatter wildly.

Cheers,

R.

On Mar 08, Ale Martinez wrote:

>For the duration Aerobic Decoupling is intended to be used such effect is minimum, see https://www.trainingpeaks.com/blog/aerobic-endurance-and-decoupling/
>

>--
>_______________________________________________
>Golden-Cheetah-Users mailing list
>golden-che...@googlegroups.com

>http://groups.google.com/group/golden-cheetah-users?hl=en
>---
>You received this message because you are subscribed to the Google Groups "golden-cheetah-users" group.

>To unsubscribe from this group and stop receiving emails from it, send an email to golden-cheetah-u...@googlegroups.com.
>For more options, visit https://groups.google.com/d/optout.

[Ale Martinez]

El domingo, 11 de marzo de 2018, 16:40:57 (UTC-3), Potuz escribió:

I think measuring the power output at a given heartrate is a good indicator of fitness but for controlled intervals in the Z4-Z5 range (at least I'm consistently getting better during the season in this metric, and consistently getting worse after vacations).

But the chart of HR vs Power in GC (or WKO for that matter) I can't really extract much info from it as the points scatter wildly.

In GC you can use season.intervals in R or seasonIntervals in Python to create a chart for Average Power vs Average HR for those controlled intervals, if you like prefer that approach.