Carbonfiberboy 

I started using Strava with an HRM, long before I got my PM. When I got my PM and re-rode my routes, the Strava estimates were very close to the PM data. In fact with my PM, I used Strava's estimated power to set my climbing paces, which worked well. Of course that all depends on one's inputs to Strava, so that's an anecdote. It's not often windy where I ride here.

A personal note: I probably would never have purchased a PM. However my PCP was hit by a car while riding. No damage to him, but his bike was destroyed. So he got the latest carbon bike and I got the PM off the mangled rear wheel and built two better wheels for my bike. Great to have one's PCP for a riding buddy!

mschwett 

i just looked at this for the first time; in sauce they refer to it as pw:hr "a measurement of aerobic decoupling..."

it's interesting comparing it for the entire ride to subsections which felt stronger or weaker. in this ride, for the strongest (first) hour, it's -0.2%, to the halfway point, only +1%, but then for the first three hours it's +4%, and for the whole ride (3:53 moving time, the last 30 minutes of which was pretty anemic) it's 6.4%. an interesting metric which seems to jive with the onset of a little fatigue and the eventual slow decay to "ok i'm glad this is the end."

PeteHski

This is interesting.

I tend to look at my HR vs Power on a ride by ride basis. I look out for HR drift on longer endurance rides and general HR vs Power at steady state. Sometimes I find that my HR can look relatively low at endurance power, which sounds great, but it's actually just because I'm fatigued. The key here is how it lines up with my perceived effort. Something that Dr San Millan mentioned in one of his interviews.

For more intense rides I look more at HR recovery time between efforts and how dynamic my HR is with changes in power. When I'm fatigued I find my HR is a lot less dynamic. Everything is just more flat and power is generally down.

EF sounds like it could be useful when comparing rides of the same duration and intensity, but it's not something I track over any significant period of time.

MoAlpha

I use decoupling for endurance workouts, particularly on the trainer, as an indication I’m getting the duration right. I want something positive but under 5. I think I got this from something Seiler wrote.

GhostRider62

211W NP for 4 hours at 106 HR is impressive.

mschwett 

yes and no - i have a lot of "endurance" but no top end, at all. i can hold 200-220 essentially indefinitely with some food and drink, but could not, for example, do 300w for an hour, in part because my max HR is 135. so i can do 1000w for 30 seconds, 300w for a couple minutes, and then from there it's 220 for days.

RChung

Long ago, in the last millenium, before there were many power meters or especially power analysis programs, SRM used to provide software so you could analyze your SRM files. One of the screens was a power-HR screen, which plotted time-averaged power (I *think* it was something like 30 second running average power) against time-averaged HR (30-second running average HR). These plots have high serial correlation so they made swoopy curves. SRM split the data by time not into discrete halves, but into something like sixths, or maybe eighths, then color-coded the curve so you could see how power and HR evolved over time. The plot was indecipherable. "Decoupling" is sort of a single metric that collapses that old SRM plot into a single number that splits the data into two halves and looks at the ratio of watts/hr over each half. I still kinda lean toward thinking this is also indecipherable.

IIRC, this is sorta what that SRM plot looked like:


Edited to add: Actually, I believe there were also some reference lines, like a line that showed the regression of power on hr, and vertical and horizontal lines that showed mean hr and mean power. Someone once asked me, what does that plot mean? I believe I said, it says, "Mama, look at what I did !!" and then the proud mother tapes it to the refrigerator.

MoAlpha

The app I use gives you a 10 min moving average of power/HR compared to the same ratio over a fixed period in the first half of the ride. I think that makes a fair amount of sense for capturing time-related effects during long, fairly constant, efforts, e.g., on flat ground or a trainer. I don't think it make much sense otherwise.

mschwett 

that's cool. what app? i use cadence, which has a crapton of options for configuring the screens, but i don't think pwr/hr is included.

MoAlpha

https://intervals.icu/

mschwett 

ahhh - for after the ride? i thought you were referring to a mobile app. looks worth poking around in!

MoAlpha

No. That would be cool, although, truth be told, I can usually see HR creeping up with the naked eye.

PeteHski

That's what I look for too during a ride. It's usually fairly obvious for me on a longer ride.

MinnMan

I appreciate this thread. The relationship between HR, power, and fitness is something I've thought about casually, but not delved in to with any seriousness. I 've figured that day to day variability, and even within-ride variability, is so great that the signal/noise ratio would be too high. Anecdotally, I find that my hour long sessions with Zwift pace partners, are good measures of this kind of efficiency. These are the closest I come to steady effort for a good standard time interval, and so they make better comparisons than other more varied rides.

I'm impressed with the OP's progression over the course of a season. If I'm reading those graphs correctly, going from a ratio of 0.6 to 1.25 is a huge gain - i.e., starting out at 90 watts @150 bpm and finishing at 190 watts @ 150 bpm. That's a huge difference.

PeteHski

That's a good point. I can't believe that's a real improvement and more likely something related to the type of rides being compared during the season. My steady state endurance power certainly doesn't vary by 100W over the course of a season!

terrymorse 

I'm not sure if it's a "real" improvement, but the numbers seem sensible. From a fully detrained state, my fitness rises quickly. People over time have remarked at how quickly I can go from couch to sorta fit.

Here's a "just got back on the bike" ride, and a "middle of the season" ride, both in 2021. Similar routes. Weighed avg. power went from 101-156 watts, while heart rate went from 140-136 bpm. Perceived effort went from "pretty hard" to "pretty easy".

RChung

Was the March ride before you got a power meter?

terrymorse 

Yes, it looks like that March ride was Strava-estimated power.

Maybe these 2022 rides area a more fair comparison:

2022-06-25 Pwr: 104, HR: 138, Pwr:HR: 0.75

2022-09-15 Pwr: 140, HR: 125, Pwr:HR: 1.12