Tuesday, September 25, 2018

VO2 max/peak estimation


As physical effort rises, the amount of fuel used by the active muscle increases.  Part of this energy is dependent on oxygen, and the amount of O2 used at a given time is referred to as the VO2.  This will rise as muscular work increases, up to an eventual maximal value.  The VO2 was discussed in some detail in the last post looking at the Fast Start strategy.  

Why is the VO2 max such a popular subject?
Many sports scientists believe that the maximal VO2 attainable is predictive of success in many endurance sports.  In addition, many of the interval protocols in the literature are adjusted to a percent of VO2max.  The usual way to measure the VO2 max is with a metabolic cart looking at accurate gas exchange and power parameters.  

Since most of us don't have access to this type of testing, I would like to discuss some non metabolic cart estimations of VO2 max power, in particular the VO2 peak cycling power.  There are other terms used to describe this maximal usage of O2.  According to this paper, several functional limits can be measured:

"The V̇O2max, mode-specific V̇O2max and V̇O2peak provide estimates of functional limits: V̇O2max represents the upper functional limit; mode-specific V̇O2max represents an upper functional limit reached during a specific exercise mode; and V̇O2peak represents an upper functional limit during a single test."

What we will be discussing here will be more of a mode specific VO2 peak, since it is cycling specific and based on single test (or multiple single tests).

Interestingly, even if we were able to be tested with a full metabolic cart approach, the VO2/power result from ramp type exercise is different than a constant steady state pace (or perhaps a Fast Start).  Dr Murias and his group published a great paper both explaining the issues with ramp testing, as well as providing some actual examples. 
Here is an illustration of the variation in power measured at the peak VO2 depending on the ramp type as well as constant intensity pacing.
Although the VO2 max (gas exchange) is the same, the corresponding power is quite different.  Training zones and race pacing would be dramatically affected by this.


Here is another look at constant power intervals (from 20 watts) labeled in blue.  At the lower intensities, the VO2(not max) stabilizes by about 90 sec and is flat for 10 minutes.  At the higher power zones, VO2 max is achieved eventually, but quicker at the higher power (Fast start interval like).  The 360 watt line is short, presumably since the power was so high, the rider was unable to continue.

The bottom line here is that it may be possible to approximate VO2 max (or peak VO2 cycling power) by observing the power curve of a given individual, particularly at the 3-6 minute interval length.

Another study looked at a 4 minute maximal run compared to the traditional graded exercise VO2 max:
The first trial was circled as an example, and indeed the VO2 is very close to the standard test result.  One of the points made in the discussion was that the speed during this 4 min test could be used as a field measure of speed at VO2 max:

An interesting paper on estimating the MAP (maximal aerobic power similar to VO2 peak) in elite cyclists used their own maximal power historical records for a range of time intervals on a log axis.  It is a very informative paper and I recommend taking a look.
According to the authors, the shift in the power vs log time plot tracing could be used for MAP (VO2 max cycling power).

In addition, the plot can be extended to estimate power for longer time spans

Although I have done many near max 3, 4, 5, 7 and 10 min intervals, I don't do longer time spans.  Based on my last years numbers, I made a log plot and tried to emulate what the study did above.

Although it is certainly not definitive, but it does give me some guidelines for MAP, VO2 peak power.  According to this tracing, my MAP is about 350 watts at the 4+ minute mark which agrees with the study.

Ventilation response to VO2 max testing
Since we are able to measure ventilation parameters in the field with the Hexoskin shirt, can these metrics be helpful in verifying VO2 peak power territory?  Although that was not the question asked in this study, a look at their data does support the concept.  This paper addressed the potential differences in respiratory response in treadmill vs cycle VO2 testing in different populations.  

The red grouping is the ventilation rate that increases steadily up to VO2 max, with a reasonable stratification below 100%.  HR in orange also behaves this way.
Interestingly, the breathing rate did increase between 90 and 100%, but the tidal volume remained the same:
In summary, at the VO2 power peak I would expect a maximal breathing rate and ventilation volume.


Does looking at the 4 min interval data indicate that a peak VO2 value should be present? 

Since VO2 depends on cardiac output (stroke volume x heart rate) we should see a near max heart rate.  The other part of the equation is the A-V O2 difference.  If flow in the measured area is near maximal, the NIRS O2 desaturation should correlate with oxygen extraction.  Therefore we would expect the desat to be near max.  Let's look at the interval tracings:

  • The heart rate by mid interval was near max, and by the end was at max.
  • The ventilation by mid interval was near max, by end interval was close to max.
  • The breathing rate was high throughout and spiked at the end
  • The RF desat of 51% at end interval was the same as the end of the 1 min max interval later in the ride (530 watt avg).
Therefore: HR, ventilation and O2 extraction were at maximal values by mid to end interval, which is good supporting evidence for reaching VO2 peak in a time zone consistent with that found in the literature.

Conversion Formulas to traditional VO2 values
Although there are many equations based on the ACSM field guidelines, the VO2 max ml/kg/min is relatively meaningless number in the field (not so in a lab setting).  But if you are interested, here is a commonly used formula and relationship of watts to VO2:


 Summary points:
  • A practical approach to estimating your VO2 peak cycling power can be valuable for monitoring your training, fitness, pacing and choosing interval protocols.
  • The power average during a relatively stable 4 minute maximal interval may be a indicator of maximal aerobic power/VO2 peak power.
  • The end interval HR, breathing rate, O2 desaturation and ventilation rate should be at near maximal levels

Other VO2 max related posts

Wednesday, September 19, 2018

Hexoskin App Overlay - Real time display and data recording

The monitoring of respiratory rate and ventilation has value in both power zone demarcation as well as pacing and recovery.  In prior posts multiple examples have been presented as well as supporting literature.  
To that end, I did not want to give up on the real time visual monitoring of respiratory data.  The Hexoskin shirt does have a smartphone app, but as explored previously, there are major issues.  
  • The heart rate can no longer be measured by your usual bike head unit (bluetooth pairing limitation).  
  • The data downloading and formats are not very user friendly.  
  • Scaling of data in the web site is very truncated.
  • Display data size is relatively small so is not very visible on a bike while riding.

My new project was getting around these limitations and create a better front end display as well as generating a very simple .csv file containing the elapsed time, heart rate, breathing rate and ventilation.  Yes, there is an api and a good programmer could write one from scratch, read the bluetooth output of the device and put that into a data storage script. The problem is that although the heart rate is easily seen on the bluetooth output, the ventilation is not.  
Here is the bluetooth spec from Hexoskin for the respiratory data:
Not very user friendly (unless you are a bluetooth programmer)

On the other hand, this is the bluetooth output from a Polar OH1, the Hexoskin heart rate data is identical but the ventilation is in hex and needs substantial math conversion for the result.


The next level of "programming" is more of a scraping and scripting technique.  Trying to get the data through logs, "intents", and notifications.  The logcat was empty and there is no obvious logging to files that I could see.  If the data was sent to the notification bar (in android), it would have been very easy to intercept that, even with the app in the background.  Unfortunately, the Hexoskin app displays a notification but no data is shown.  What I ended up doing is to "scrape" the data from the Hexoskin app display. There is a plugin for the android scripting app Tasker called "autonotification".  This plugin will create a variable for each field on the screen display.  The data can then be "lifted" off the display if the target app is active in the foreground.  So in this case, I need to have the Hexoskin app running in the foreground, then activate my "overlay" which will scrape the data from the display and place it into a .csv as well as showing it in a more user friendly fashion (as an overlay).  Tasker is also able to adjust the display sleep time and brightness for optimal usability while outside.


Notice underneath the black overlay is the regular Hexoskin app in blue (Recording, Show Sensors, 79%).
Using Tasker with autonotification, I was able to get the elapsed time, ventilation (Q), HR, breathing rate.  Then it's just a matter of looping every 1-2 seconds to get a continuous output.  I also placed a "maximum" field to the right of each data point (in color).  The graph in green is the ventilation rate (L/min) and was done with Google graph api (internet connection required) and the last 6 minutes of data.
Here is what the .csv looks like:

Once in this format, it would relatively easy to run numerical averages, range of values over a particular interval, etc. 

After getting your full session of data you can then graph it out with better visual dynamic range than on the Hexoskin web site.
There is a helpful web site called Ploty that one can use to graph out the results.  

Here is an example
First the full ride in one of the created charts:



I circled the 5 min fast start, 1 min max and a 4 min 250 watt interval.  Ventilation is purple, HR is red.  Everything is able to be customized in ploty:


In this case, the 5 min fast start is zoomed in for a better look.  The ability to scale the axis for better discernment is very helpful.
You can also save the graph to a file:

The Hexoskin web display is of course not affected by doing this.  In fact, if there is an artifact (in yellow) it will be present in both overlay data as well as the web page.
For example:



The scaling is a bit different but the flat (?drop out) in ventilation is present in both.
Also, since the scaling is adjustable in ploty, one can better appreciate the rapid swings in ventilation rates

I am still in the process of streamlining the data collection loop, improving the graphing and interface.  Another potential feature could be text to speech over bluetooth.  This could be useful for folks who are running, skiing and therefore can't see the display.  They then can get ventilation/HR data in real time over a wireless bluetooth earbud.
In addition, one could also have the overlay send a notification (of data) which would be displayed on your Garmin watch (since the watch will flash incoming notifications).  A minor issue is that the Hexoskin web app ventilation (L/min) is a "raw" figure but the smartphone app is corrected for size.  I need to clarify what the conversion formula is.

According to Hexoskin tech support it is more than a simple conversion: 
"In fact, there isn't a conversion from the data on the app to the dashboard. The raw data is processed by "lighter" algorithms on the app and "more robust" algorithms on the servers to be displayed on the dashboard.
And the algorithms cannot be shared as they are proprietary to Hexoskin."


Even with this situation, the data is on par with the fully processed web app.


The bottom line is that it is possible to both display the Hexoskin data in a more visually friendly way as well as create a simple .csv file with your data to analyze after the session.

With a little imagination and the power of some clever android apps, real time respiratory data display and data recording can happen.


  • Better on bike visual readability.
  • Extend display time out to hours, increase brightness
  • Show max values (could also potentially show last 10 second average for example)
  • Simple .csv for graphing and spreadsheet calculations


Sunday, September 9, 2018

Post flat tire metrics, a look at concurrent training?

One man's trash is another man's treasure......

A few days ago I was just getting ready for a "monitored" interval after doing a 1 hour warmup on the road.  To preface, I only ride hard a couple of days a week and on those days wear all 3 BSX sensors with light shields and my Hexoskin shirt.  There is a bit of effort involved getting it all together and having it all working.  After the 20 minute "gear-up" (like the astronauts), it takes about an hour to reach the location of testing.  On this particular day all was well until I hit the lap button beginning the interval and promptly got a flat tire.  Even worse, I have tubeless tires that can be finicky with re inflation after a change.  The bad luck continued with going through 2 air canisters and having a leak around the valve.  Before calling my wife for help, I tried using a hand pump that shouldn't have worked (does not provide that blast of air volume for tubeless inflation).  However my luck changed at that moment and after pumping like a maniac for several minutes, the tire bead seated.  I proceeded to finish pumping, got back on the bike, turned around, warmed back up 10 minutes and hit the hill again.  The power profile wasn't bad, but towards the end of the effort, I felt something was not quite right.  This post will be about my experience and a brief look at some literature as well.  

The use of both resistance and aerobic exercise in the same session is called concurrent training.  There are an infinite amount of permutations in regards to exercise order, intensity, and between session rest.  There is also a huge amount of literature looking at this but for my purposes, just a narrow scenario will be explored.

This is what the session looked like:
There is an almost 1 hour warm up, the flat tire change (part of that being vigorous hand pumping associated with heart rate elevation), a brief warm up then a 5 minute Fast start interval.
A closer look at the 5 min FS:
Several remarks:
  • The starting HR, costal O2, RF O2 sats were all within the usual range
  • The prompt HR elevation at 30s was similar to other FS intervals
  • The Costal O2 pattern (initial drop during the FS, stabilization at about 280 watts, further drop in green with higher power of 330 watts, re-stabilization after power cut) was very typical
  • The RF O2 pattern was also very similar to previous FS intervals (see previous FS posts)
  • But, I knew something was off.  I was severely winded and fatigued after.  My plan was to go for a longer interval but couldn't do it.  At the time, I couldn't figure out why since my Costal O2 was not excessively low, nor was the HR that high.

After looking at my Hexoskin data (post ride), it becomes more understandable:

Compared to previous FS intervals of similar power:
  • The baseline ventilation is about double.
  • The mid and latter portions are at near maximal.
  • The 1 min post effort ventilation (while coasting) is almost double.

What about later in the ride, is the ventilation elevation still an issue?

Here is the 1 minute maximal effort:
  • The baseline ventilation was lower at 42, near usual
  • Baseline HR at usual.
  • Max HR same as usual
  • Max ventilation same as usual.
  • Interval average power slightly lower (but close).

The probable cause:
3 minutes of fast hand pumping (after the regular battle of changing a tubeless tire).
If we go back to the graphic of the whole ride above, there is a segment of the tire change associated with heart rate elevation.  After 2 failed attempts at tire inflation, I got out the small hand pump and gave it a go.  Needless to say, my expectations were low, but surprisingly it did work.  I was a bit winded doing this, but did not really pay attention to it.
Closer inspection though does confirm a significant effort in regards to HR and ventilation.
  • The fast hand pumping elevated both ventilation as well as HR (140 max).  The HR is not an artifact of motion since it was measured with the Hexoskin (I looked at the raw data and it is correct).
Comparison with a "control":
On a ride last month, I also had a flat but did not hand pump.  The flat was about 30 minutes pre interval, with no change in ventilation rate patterns.


  • It seems that a session of upper body exercise in close proximity to a subsequent cycling interval, will cause elevation of minute ventilation.
  • The elevation of ventilation is in both baseline values as well as reaching maximal levels earlier than expected.
  • The HR pre interval does not appear to elevated.
  • The O2 desaturation pattern of the active muscle does not appear to change.
  • The O2 desaturation pattern of the costal muscle does not appear to change.
  • Latter on in the session, the ventilation parameters come back to baseline.


What does the literature tell us?
Kang and associates published a study looking at physiologic parameters after a combination resistance then cycling session:


The exercise protocol was as follows (4 of the 6 strength exercises were upper body):
Essentially, either a low or higher intensity resistance session was done, then a 5 min rest followed by 20 minutes of cycling at 50% of the VO2 max power.  Measurements were done throughout with averages below:
  • There was a HR elevation in both resistance groups compared to the control (no resistance session before cycling).
  • In both men and women, Ventilation was significantly higher after the resistance sessions while cycling.
  • The low vs high resistance sessions had similar elevation of ventilation.  The higher resistance did not elevate ventilation more than the low.
  • Although VO2 was not statistically different for men, it was elevated in women and appeared to be elevated (p>.05) in men as well. 
  • There may be many reasons for this "compensation" such as EPOC (excess post exercise O2 consumption).

Although this is not exactly a simulation of my ride experience, the underlying theme is the same.  A given amount of resistance work (mainly upper body) in close time proximity before cycling can increase ventilation rates as well as total VO2.


Some take away points:
  • The addition of non cycling exercise before an interval or during a race may have significant effects on performance.
  • The usual monitoring modalities including heart rate and even muscle O2 may not be able to indicate this situation.
  • The surrogate marker of cardiac output redistribution, namely costal O2 does not appear to be predictive as well.
  • Ventilation volume does appear to be the best measure of post resistance physiologic compensation.
  • If you do have a difficult tire change, consider a longer active recovery time with easy cycling to avoid the above.  Conversely, if recovery is not an option, be prepared for higher ventilation rates and potentially higher RPE.  The time of recovery undoubtedly will vary between individuals and their circumstances.
  • Real time knowledge of the ventilation volume would have been helpful.  I probably would have delayed the interval to latter into the ride and/or limited the power/time of the session.
  • Cycling after a resistance exercise session (as in a fitness center) will have ramifications as noted.

Friday, August 31, 2018

Fast Start Strategy revisited and expanded

One of the most promising modalities to improve performance of a short time trial or equivilant is the fast start strategy (FS).  In a previous post this was reviewed but precise heart rate and respiratory data were missing on my end (no Hexoskin).  I thought it may be interesting to repeat some of the various permutations with accurate HR, ventilation as well as costal/leg SmO2 measurements.  The excellent study above discusses potential mechanisms of why this protocol may cause performance gains.  I will try to look at similar themes as well as some additional observations.  Finally, the "cost/benefit" of employing this type of power pattern is briefly reviewed.

To start with, I would like to briefly explain a few physiologic parameters of interest.

VO2:
This is simply the amount of oxygen the tissue is utilizing.  VO2 max would be the maximum O2 usage attainable.
The classic definition is derived from the Fick equation:
VO2 = Q × (CaO2 − CvO2)
Q is the cardiac output which is (heart rate x stroke volume).  The stroke volume is the amount of blood pumped per beat.  As exercise intensity rises, the stroke volume rises, but plateaus well below the max heart rate.  At high work rates, we can assume stroke volume as a relative constant (technically it could even drop at very high HR from inadequate atrial filling).  That would mean cardiac output (at high work loads) is very proportional to heart rate.

(CaO2 − CvO2)
This refers to the difference in arterial and venous O2 content.  Although not a direct measurement of such, the NIRS O2 saturation is related to this somewhat, discussed next.

Locomotor muscle O2 saturation
Both oxygen delivery and consumption are able to affect the measurement of SmO2.  The balance between delivery increase (vasodilitation) and higher consumption (motor activity) may yield a variety of final results.  The net balance between the delivery and consumption is reflected as the amount of extraction.  For example if the delivery stays constant, a higher consumption (exercise) will cause a larger O2 desaturation (and a higher net extraction).  On the other hand, a decrease in delivery (heart failure) with stable consumption can lead to higher extraction and lower measured tissue O2 as well.  Both conditions lead to higher extraction though different mechanisms.

Ventilation:
It has been shown that at moderate exercise intensities both HR and ventilation are related to the VO2.  Certainly at work rates above the MLSS, ventilation will be boosted from acidosis compensation.   This is a figure from a study looking at this relationship.

The end result is that looking at the early ventilation rise in either Fast or Slow starts may be a reflection of VO2 on kinetics.

Does tHb indicate blood flow?
Although it is tempting to use this as a measure of flow, it just does not work out.
There are some sophisticated methods to estimate flow (without cuff occlusion), but the simple tHb tracing can be misleading. 
From the quoted paper:
Handgrip exercise:

With exercise the flow is up (L panel), SmO2 is down (R panel) but tHb is flat.  This would be the general situation in most of our tracings, except for the consequence of external compressive forces.

With Cuff occlusion:
The tHb is relatively flat in cuff occlusion, but does show a tiny rise with cuff release and compensatory hyperemia.  The cuff is not surrounding the area of measurement so no compressive effects are seen.



Given the above background, several physiologic differences will be looked at in the Fast vs Slow start routines.  
  • Is there better O2 extraction in locomotor muscles?  
  • Is there a difference in cardiac output as reflected by heart rates (assuming constant stroke volume)?
  • Is there a difference in early ventilation increase (as a potential indirect look at VO2)
  • Is the end interval ventilation rate different?
  • Is the post interval ventilation recovery faster in FS?
  • Re examination of the costal O2 desaturation pattern in view of now having ventilation data.
  • Can a Fast start prime the "system" resulting in faster recovery than otherwise seen in an Even pace

VL desaturation patterns 
Slow vs Fast start 3 min at 320 watt average total.
Slow:

Fast:


  • Both intervals started at the same O2 saturation (65-66%) and since this was done on the same ride, assume the position did not change.
  • The end O2 sat was about the same (53-54%)
  • There was a faster and deeper drop in saturation in the Fast start.  At 20 seconds into the effort, the Fast start was down a net 5% over the Slow start effort (62 vs 57%).  The maximal desaturation was lower in FS (51 vs 53%).
  • A slightly faster re oxygenation to a similar peak post interval in FS (55 vs 50 sec).
When I initially saw this my first thought was that although the O2 extraction was theoretically higher in the Fast start, perhaps it was simply related to higher levels of muscle contraction force (from the high power of the FS) causing external compression (and reduced flow/supply).
For instance the following is a total Hb tracing of the latissimus muscle during a heavy load pulldown.  The prompt reduction in tHb (blue down arrow) is the start of muscle contraction and the blue arrow up is the end of the exercise set.

Does this occur during the Fast or Slow starts?
Here is the Slow start VL tHb (in purple):

 And the Fast start VL tHb (in purple):
Nearly identical!
There does not appear to be a compressive blood volume reduction.
Therefore it does appear that the O2 extraction is faster and more complete in the initial part of the Fast start interval unrelated to external compressive flow restriction.




Does the RF have a similar pattern?
Here is the Slow start RF O2 tracing:

 The Fast start:


  • The O2 saturation drop is faster and deeper in the Fast start than the slow start (50 vs 42 % at 20 sec).  Similar to the VL.
  • The end interval saturation is similar in both


Is the tHb pattern different?


This is a graphic of the zoomed out ride (power in gray).  Both tHb patterns look similar (red color).
Zoomed views
Slow start:
 Fast start:
 The RF patterns are similar in both intervals, as in the VL monitor tracings.

Summary observations:
  • Both the RF and VL desaturate faster as well as reaching lower total values in the Fast start interval
  • There is no notable difference in tHb measurements between Fast and Slow starts
  • Although this is not meant as a flow measurement, it does seem that there is at least a more rapid O2 extraction (with higher peak extraction) with a more significant hypoxic stimulus for metabolic change in the Fast start.  One of the hypothesized mechanisms for FS superiority is a more rapid buildup (or loss) of biochemical factors associated with muscle hypoxia.

Respiratory parameters:
The Hexoskin shirt has been shown to give accurate measurements of breathing rate, index of minute ventilation (when not calibrated to the individual) and heart rate.
Is there a difference in any of these parameters?

Slow start:
Fast start:
There appears to be several differences between intervals
  • The heart rate rose faster in the Fast start.  The 30 sec HR was higher in the Fast start (149 vs 141) supporting the concept of a faster rise in cardiac output using that technique.
  • The peak heart rate (at the end) was higher in the slow start (170 vs 166).
  • Minute ventilation also rose faster in the Fast start (98 vs 86 at 30 sec), but the end of interval value was similar (208).  If ventilation is a valid marker of VO2, the higher rise in the Fast start supports the concept of faster VO2 on kinetics
  • Post interval ventilation (one minute after 170 vs 118 while coasting) is markedly higher in SS.  Since ventilation more quickly returns toward "normal" in FS, readiness for another heavy load occurs sooner.  This may be related to the higher overall oxidative metabolism in the FS with less O2 debt.

What about average heart rate? 
Unfortunately, this was not easily obtainable given the problems in parsing the Hexoskin data (I did not record it as usual on Ipbike - see last post) but it was approximately 4 BPM higher in the Fast start.

For a better look, here are two intervals (on different days) with solid average HR data:

  • The average heart rate on the Fast start interval was 6 BPM higher.
  • The pattern of faster HR rise was also seen again
A look at costal O2 dynamics.  
The costal O2 potentially reflects both cardiac output redistribution effects, as well as increased respiratory muscle work rates (higher O2 usage by those muscles) from ventilation rise (normal O2 needs as well as lactate buffering).  This paper was reviewed awhile back but is an important theme for the data below.



Total Hb
Slow start costal tHb:

Fast start tHb:
  • The tHb patterns of both Fast and Slow starts are very similar at the costal muscle location.

Costal O2 desaturation tracings:
Slow start costal O2

 Fast start costal O2
  • Although the initial desaturation rate is faster in the FS, the ultimate final value is lower in the SS (25 vs 30%).
  • More importantly, the O2 sat curve is relatively flat/stable in the FS, but steadily dropping into historic minimal values in the SSThis occurs despite the similar ventilation rates at the end, (seen with the Hexoskin above).  The end interval costal hypoxic pattern in the SS is associated with shortened time to fatigue (seen in other intervals like a 1 min max).
  • The similar ventilation rates (at the end) should equate to similar muscular work loads of the respiratory muscles.  Therefore, the lower costal O2 values end interval may be more reflective of redistribution effects.  Since power to the legs is higher at end interval SS, the redistribution of cardiac output may be further diverted away from the costal muscles.  It could also be possible that the "efficiency" of these muscles become impaired with hypoxia (in SS) leading to reduced respiratory function and respiratory fatigue (leading to severe overall decompensation with continued effort).
  • Recovery time (black arrows) is shortened in FS.  Return to a more stable baseline takes longer with the SS.  This may be related to the higher ventilation rate seen post interval in the SS (higher costal muscle O2 consumption/extraction).  
  • The above potentially could hamper re oxygenation kinetics of the locomotor muscles as well (metobo-reflex - sympathetic vasoconstriction of the leg vasculature).

A look at longer intervals:

Given the observation that both HR, ventilation volume and presumably VO2 on kinetics are improved with the initial FS pace, does starting a longer interval this way adversely impact the remainder.  For instance, in a hypothetical race, are we worse off with starting with a 30 second effort at a higher power before dialing back to about MLSS vs just keeping at the MLSS from the start?  Does that initial 30 sec power burst "cost" us later, or does it create the optimal exercise physiology environment for the upcoming interval?



The best Hexoskin equipped intervals that I have to compare are as follows (not perfectly matched):
This is a 7 min Even start at 251 watts:
And the respiratory data:

Compare it to a 10 min 253 watt interval after an initial 30 sec at 400 watts:



 Trends:
  • Baseline HR about the same 
  • HR at 30 sec higher in FS (148 vs 134)
  • Steady state HR about the same
  • Baseline ventilation was the same
  • Ventilation at 30 sec higher in FS (95 vs 72)
  • Steady state ventilation toward the end about the same in FS vs ES
  • One min post interval ventilation lower in FS despite an extra 3 minutes and the higher initial power (however the coast time was shorter in ES)
  • Costal O2 pattern similar (given that the baseline values and interval length were different)

Some final thoughts (open to corrections)

Is there better locomotor muscle O2 extraction in either condition?   
  • Yes, it's higher in FS
Is there a difference in cardiac output as reflected by heart rates (assuming constant stroke volume)?
  • Yes - It appears that both average and 30 second heart rates are higher in FS.  Final HR generally is not.
Is there a difference in early ventilation increase (as a potential indirect look at VO2)
  • Yes, it's higher in FS
Is the end interval ventilation rate different?
  • Both conditions are very close
Is the post interval ventilation recovery faster in FS?
  • Yes
Re examination of the costal O2 desaturation pattern in view of now having ventilation data.
  • Costal O2 at the end of interval is higher in FS despite similar ventilation rates.  This raises the question of cardiac output redistribution(with lower costal flow and higher extraction) and resultant changes in respiratory muscle efficiency/fatigue.
Can a Fast start segment prime the "system" resulting in faster recovery than otherwise seen with an Even pace?
  • Possibly (quicker ventilation recovery)
How much does a Fast start cost us (fatigue, end ventilation/HR elevation)?
  • Not very much - end HR, end ventilation, end costal O2 are all equivilant


As an end comment, these observations were done on one person, older than the usual test subject, and genetically more of a strength than endurance athlete.  Whether or not younger, more elite endurance folks would show this pattern is unknown.  However, with relatively simple gear, these same test intervals could be done by anyone to see if they would benefit from a Fast start strategy.


 VO2 max related posts