# Stephen Sieler on cardiac drift, power/HR and so on

As this is about endurance LT1 Power & HR and would be potentially of most use during a Base phase when you are perhaps not doing any maximal efforts then the ICU calculated FTP would probably be too low and would drift downwards. The FTP that you can alter could be a better choice.

I definitely agree with what (I think) @Bogdan_Rylski is saying in the other thread about 20min Z2 intervals. Without very carefully set parameters, this could easily become a “garbage in / garbage out” metric, where 99% of athletes are inputting garbage.

I pay attention to low intensity training and do longer rides at <70%maxHr as Seiler and others suggests. But I rarely do more than 90 minutes on the turbo where you can get the consistent output necessary for reliable analysis. And even the 90 minute sessions I do (Trainer Road) have some fluctuations in power, rather than just riding at a set HR or power.

Looks like this is going to show something useful. I had to do a lot of fiddling around but the trick to finally get it to work was to use a 60s moving average for power. Otherwise its just too messy. I think Dr Seiler used % of 6m power just because that makes the power line end up close to the HR line. I am going to do some more work to fiddle the axis a bit so the power and HR lines always start off overlapping like they do in this example (not live yet!) where there is quite a bit of de-coupling going on (this wasn’t a Z2 ride!):

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I am also thinking about plotting the “gap” between the lines as a separate trace underneath. That might make it even easier to spot the point from where drift really sets in.

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I have listened to Seiler’s talk and slides, and done some calculations myself, about my own rides in Z1/Z2.

In its basic form, Seiler’s proposal is to compute the ratio HR/Pwr. In his case he normalises HR by relating it to HRmax and HR reserve; and he normalises power by normalising it to some measure of maximum power [in his case, max 6-minute power]. And he smooths the data by using 20-minute intervals.

In the short term and for one person, HRmax, HR reserve and the measure of maximum power are all constant. So Seiler’s index is simply the ratio HR/Pwr, appropriately smoothed. [One thing about long smoothing intervals is that HR lag becomes insignificant.] The major difference between Seiler’s index and David’s current implementation in the short term and for one person is therefore that Seiler traces the ratio over time looking for durations at which the index begins to rise [durations at which HR/Pwr begins to exhibit signs at which the body’s effort begins to rise relative to the work done], whereas David currently regresses HR/Pwr for the who ride to calculate decoupling.

Compared to David’s first go implementation, above, therefore, I’d look for [1] longer smoothing intervals and [2] presentation of the HR/Pwr ratio not their difference. My experience in doing this is that intervals should be at least 5 minutes long – remember that this is all assessing one’s about long endurance rides with a view to finding what training is needed to provide a stimulus [though assessing changes in performance can be identified too].

For the longer term or for comparison between individuals [HRmax, HR reserve and FTP not constant], then normalisation as per Seiler seems useful. But not otherwise necessary.

Apologies for the long post …

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The first version of this is now live. I added decoupling along the bottom. When you have some decent drift going on as in this ride it works well and lines up with what the power and HR traces are doing . The decoupling numbers come out a little different to the current charts as there is no attempt to remove coasting and so on like the others do.

If anyone has any long endurance rides done on an indoor trainer please msg me link. I don’t have any of those myself and outdoor stuff is always quite messy.

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Neat! Well done – especially so quickly.

Here is a 2.5 hour endurance ride indoors: https://intervals.icu/activities/3305690107/power. And this is a longer outdoor ride: https://intervals.icu/activities/3348983811/power.

I notice two things. [1] Your normalising interval = first half of the ride, which is quite long. And more importantly, [2] the ratio Pwr / %HRR seems to go to zero. Actually this is an artefact of the fact that the ratio has no scale on the graph that is shown. The zero line is presumably 1.0. And then, your flat lines [and mine in the activities I listed above] show periods where the ratio is less than 1.0 but your graphs do not permit this. You need some way of plotting the ratio [green line] that gives the scale.

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I could make it the 1st half or an hour whichever is less?

The green line is the decoupling and I thought neg decoupling wasn’t all that interesting so left that bit out. But maybe that needs to go on its own little stripe then it can have a scale and the zero line will be the 1st half/hour reference.

Or I could just plot the HR ratio itself and add a 1st half value reference line.

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Sorry I might be being stupid, but where do I see this chart? I can’t find it.

Longest recent one I have is 90 minutes which might show up something. https://intervals.icu/activities/3064495285

Ignore me, found it. Was looking in the heart rate section.

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Hi David, these all have a fair bit of intensity in them, but all are just over 4hrs with mostly Z2/3 and pretty steady. Saturday is my official long ride day and unfortunately most of them are indoors lately…

David, this is a excellent new feature. It certainly helps assess aerobic base. Any chance of tracking and plotting a metric that allows for identifying changes in performance over time?

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@Brian_Lande Check this out:

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david:
You have certainly sparked interest! Well done.

On the baseline: Seiler uses the second 20-minute interval because in the first power is high relative to HR, as the rider warms up. But I suppose that over an hour this would work itself out. And an hour is better than 20 minutes if this is to be used for outdoor rides too. So I think first half or an hour, whichever is less.

On the green line: I think that its own little stripe would be best. And it’s not a zero line! It’s a 1.0 line.

Brian_Lande: the key metric is the time at which the green line [Pwr/%HRR] begins to deviate from the horizontal, for a given average power output. This is what Seiler is trying to track, I think – at what point is the body beginning to be stimulated beyond what it can currently do. That seem to me to be difficult to identify in an automated manner.

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Wow, this is awesome! Never thought it was going to get this much attention. I love this subject and hoped you did as well, and indeed my hopes were met! Thank you!

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Just donated for the first time. The straw that broke this camel’s back is the incredibly quick response to this request. I was vacillating about whether to make a similar request but was reluctant to ask without ever having contributed.

This is a really interesting and useful topic for me, so thank you Daniel for initiating it and David for implementing it!

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Tx. Some nice rides there. Its working well on those. The ones with de-coupling the power and HR traces diverge nicely and the 2nd half has green decoupling creeping up.

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Definitely. I already tried once but couldn’t figure out how to clean up the messy data. Going to get back on it shortly. Good ideas on the other thread.