One of the most important questions we can answer with DFA a1 observation is where is our aerobic threshold? To do so, either constant power intervals or an incremental ramp (not to failure) is needed. Over the months, I've been asked by athletes and coaches to look over data and weigh in on an interpretation. What I'd like to do in this post is give a brief approach on how to do this yourself and then present the data in an attractive Excel graph. To keep this both simple and quick, I recommend using Runalyze as your source of data. Why? They use a similar DFA a1 computation method as Kubios, can output a1, HR and power in fine increments (every 5s recalculation) and according to my testing, provide accurate results. Although we can plot DFA a1 over time (and work out the time vs power or HR), the following approach is easier and will provide comparable results. I also discussed some general graphing and analysis tips in a set of older posts, here we will just review the HRVT.
Why not use Runalyze HRVT data? The Runalyze graph uses all data points and even if you just recorded the ramp, we don't want to plot the beginning, stable a1 values (the top of the reverse S shaped curve) or the bottom unchanging nadir values (bottom of the S).
Step 1 - do a ramp in either Zwift or equivalent, with a start power well below your easy pace. The rate of rise can be from 5 to 30w/min but at the higher rates, power at the HRVT will not be accurate. If you are interested in cycling power, do a 5 to 10w/min ramp rise.
What about constant power intervals? Yes, these can be very helpful, but their best use case is with real time monitoring (Fatmaxxer). For example, cycling at a fixed power for 5-6 minutes may allow one to get an idea at what power level DFA a1 drops to below .75. We really don't need Excel plotting to do that.
Step 2 - have Runalyze process the file. The default time for the re computation window is every 60s, we need to change that to every 5s:
Set the window overlap to 115 sec (yeah, it's not intuitive). Keep the window length and artifact correction as is. Click Submit.
Then you will see this:
It contains all our needed data.
Step 3 - Click export CSV (in green). Save the file and open it with Excel
I highlighted the important columns including time (duration end), DFA a1 (alpha), pArtifacts (%artifacts), heart rate and power.
Before you do anything else, save the file as an xlsx:
If this is not done, none of our graphics will be saved.
Step 4 - locate and inspect the data:
We don't want to plot the entire session or even the entire ramp. What we are looking for is the near linear section from an a1 of 1.0 to about .5 (or less). Too many repeats of similar a1 values at the start or end will throw off the linear plot.
For example, here is where I'm going to start the plot (line in yellow):
You can see that the alpha column will start with values of about 1 and then drift down.
Ending with these (last plot line in yellow):
As you scan through the data between the start and end plot, make sure the % artifact is reasonable - below 3% (will show as .03 in the column) would be best. In this case they were zero to 1%.
Step 5 - Selecting the data to graph:
We are going to take a few shortcuts and perform a couple of tricks here to make life simpler. Since we first want to graph HR vs a1, lets isolate just those two data columns. Click on the start cell of HR to select it, scroll down to the end HR cell and click with the shift key held down to select that entire batch. Choose copy.
Add a new page (bottom of window) and paste those values into A2, to leave room for a heading:I pasted into the second row of the new page (HR plot, in green) and in the top of the column, then put a label of HR (green also)
Repeat for alpha 1 column:
Now we have this:
Step 6 - HR vs DFA a1 graph and HRVT estimation.
Click and drag the cursor over columns A and B (not A1 to B1, use the actual top of the columns)
With both columns selected, go to Menu - Insert - Charts and pick "scatter" on the top left of the choice list:
Excel will then automatically place a graph of HR vs a1 on the page.
Step 7 - improving the looks of the plot and getting the HRVT HR
I moved and enlarged the graph area by dragging and resize.
Let's add some axis titles and trendlines:
Select the graph, hit the plus sign then check both axis title and trendline boxes. I re-titled the graph, axis labels already
Right click the trendline (dotted) and add the R squared and equation if desired. You can also go to the paint can icon and change the line style/color.
Format the Y axis (a1) - We want an appropriate range and increments of 0.25 with a line at a1=.75.
In green highlights, the min (.25), max (1.25) Bounds and major Units (.25) are listed. This will make it easier to see where the HRVT falls without resorting to equations.
Format the HR axis:
The min, max Bounds and major Units are set (green)
- The HRVT HR is about 137 bpm.
Step 8 - HRVT power:
In this case we will essentially follow the same steps but substitute Watts for HR - Two columns, Watts and DFA a1, plot both and adjust the axis.
I also went into "text options" for each graph component to darken the fonts
- HRVT power was 204 watts.
To export any graph as a picture, just right click the graph and choose "save as picture"
There you have it!
Yes, if you are an expert at Excel you certainly don't need this, but for those who who aren't and would like a nicer looking, more accurate HRVT plot, this may be helpful.
One more tip - once you have a graph customized the way you want, you can "copy" the "format" to another unfinished graph (in another day's session on a different xlsx).
Step 1 - Control C (copy) the formatted graph
Step 2 - Click once on the unformatted graph to select it.
Step 3 - Go to the "Home" tab, upper left corner is "Paste" - select "Paste Special"
Step 4 - Choose "Format only"
Note - You may need to right click on the X axis to reset the "Bounds" if the HR or power has changed.
Heart rate variability during dynamic exercise
- Firstbeat VO2 estimation - valid or voodoo?
- Heart rate variability during exercise - threshold testing
- Exercise in the heat and VO2 max estimation
- DFA alpha1, HRV complexity and polarized training
- HRV artifact avoidance vs correction, getting it right the first time
- VT1 correlation to HRV indexes - revisited
- DFA a1 and Zone 1 limits - the effect of Kubios artifact correction
- HRV artifact effects on DFA a1 using alternate software
- A just published article on DFA a1 and Zone 1 demarcation
- DFA a1 vs intensity metrics via ramp vs constant power intervals
- DFA a1 decline with intensity, effect of elevated skin temperature
- Fractal Correlation Properties of Heart Rate Variability (DFA a1): A New Biomarker for Intensity Distribution in Endurance Exercise
- Movesense Medical ECG V2.0 Firmware brief review
- Movesense Medical ECG - improving the waveform and HRV accuracy
- DFA a1 and the aerobic threshold, video conference presentation
- DFA a1 - running ramp and sample rate observations with the Movesense ECG
- DFA a1 calculation - Kubios vs Python mini validation
- Frontiers in Physiology - Validation of DFA a1 as a marker of VT1
- Real time Aerobic thresholds and polarized training with HRV Logger
- Active Recovery with HRV Logger
- DFA a1 and exercise intensity FAQ
- DFA a1 agreement using Polar H10, ECG, HRV logger
- DFA a1 post HIT, and as marker of fatigue
- DFA a1 stability over longer exercise times
- DFA a1, Sample rates and Device quirks
- DFA a1 and the HRVT2 - VT2/LT2
- Low DFA a1 while running - a possible fix?
- Runalyze vs Kubios DFA a1 agreement
- DFA a1 - Runalyze vs Kubios vs Logger results in a cyclist
- Best practices for Runalyze and DFA a1 thresholds
- ACSM - HRVT validation in a cardiac disease population
- FatMaxxer - a new app for real time a1
- Another look at indoor exercise without a fan
- ECG artifact strips from Fatmaxxer - a guide
- ECG arrhythmia and artifact visualization tips
- DFA a1 as a marker of endurance exercise fatigue
- To train hard or not, that's the question
- DFA a1 HRVT and Ramp slope
- DFA a1 and optimal HRM belt position
- DFA a1 threshold in a cardiac population