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Juerg Feldmann

Fortiori Design LLC
Posts: 1,530
As we move now in the practical application , I like to show  examples of test and problems you may see  .
 As more MOXY's we now have out there as more information we can collect.
 Remember  that you can get information and help on the physiological  aspects under and for technical support over this website here.
 Now here a test and even if you are not used   yet you can see, that after a certain amount of time the SmO2 trace got very " restless"
 In this cases we look something we term QCI ( Quality control index) in this case  you can see, that there was a problem with the quality of the data transfer due o the  fixation of the unit on the leg. So  the start looks good  and than we lost the quality signal and  the test better has to be done again.  Pic one test  and pic 2 picture from QCI

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Juerg Feldmann

Fortiori Design LLC
Posts: 1,530
One question I got. How does the QCI ( Quality control index ) would look in a good test ?
 First to add n this is, that future MOXY competency center will have access to some additional interpretation  options to  make it much easier to understand the different trends.
 One of them is what you see in the QCI. There are specific reactions in the index we  see now more and more and can understand. In basic assessments like most center will do , like step test or  endurance workouts a QCI will look like the pic  1. This is a  QCI from a case study Nick Mc Lean did as a UBC Okanagan student.
 The goal of the case study  was to show in practical terms, what it means to  manipulate the  O2 hemoglobin dissociation curve by  doing different interventions.
One of the reason why I like this kind of practical work with Physiology students is the fact, that they often still learn, that we can't influence this trend and in fact  many still learn , that the ( a-v) O2 difference in the famous Fick equation  VO2 max = CO x (a-v)  O2 difference  can't be influence  .
 We strongly believe and have many many case studies on hand to show, that we can  influence this part of the VO2 very easily and with a very  intriguing effect on performance . MOXY is THE tool to show , how you influence that part of the  VO2 max equation.
 Physio flow is the other part of the equation.
 In other words. Nick had to do on his own body a full IPAHR on the bike and I will show later how he tested  a- v diff and Cardiac output and stroke volume and VE and RF  and and and on his own body including blood testing.
 The future of physiological testing is far upon us, just needs some time to get our minds from classical ideas to add some new ideas to it. Here now  a part of  his many case studies . This part is a respiratory manipulation on a bike.
 He was biking fixed RPM and fixed wattage but had three parts where he manipulated the respiration and you can try  to figure out where he  switched  and what happened to the SmO2 ( oxygenation )  as well on  what  may have happened in the VO2 values , when you look at this trends.
 So same wattage and where would a 3 different VO2 values and 3 different SmO2 values and three different VE values and so n.
 A great example on why wattage alone as a intensity control has  its limit like any other marker on its own, whether it is  HR  or VO2 or lactate or SmO2. We have to accept the fact , that the human physiology is a tam and as more team member we understand as easier it will be to understand  physiological reaction and progress and  regress.
 This is a wonder full demo example for critical  thinkers to show how we influence the O2 diss curve.
 I made a small additional explanation for new reader  to try to explain the O2 diss curve.  Your  grey  cell training could be to try to assess, where did we do what to change SmO2  this nciely and what consequences this could have on training stimmuli and  as well on performance.

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Juerg Feldmann

Fortiori Design LLC
Posts: 1,530
Okay hope you had some Gray cells activity . Be ready for a very interesting trend we see and it  supports the reason, why we need MOXY  and why we need to have an overview on the idea, that physiological  reactions have to be looked upon a full " tam " approach.
 Here what I like to show  hopefully later today.
 In the above  case study you can see a change in SmO2   due to change in respiratory activity.
 we have  three different respiratory interventions as you can easy so and therefor you have three different SmO2 values clearly different from each other despite a fixed wattage and  fixed RPM.
 So the Physical conduction's ( performance ) where kept very stable, but the  physiological parameter SmO2 ( MOXY ) shows a very different pictures, indicating a very different physiological reaction , when we look O2 trend.
 So here what we  added to this type of intervention. We used the " famous " lactate to see, how the different  respiratory intervention would change the lactate dynamic. To do this you have to stay at least 5 min in a stable performance level  but better actually longer.
 The combination of MOXY and lactate is a beautifully piece of learning , why we can't use lactate in many cases like interval workouts  and strenght workouts, due to the lag time of the metabolic  dynamic  and the property of lactate. Same holds true , when we look at HR.
 So the question here is: What would you expect on lactate dynamic in the first  , second  and third part of the  MOXY graph. Second than is, hwy is the situation , where we have a higher lactate  than the situation , where we have a lower lactate so different in the  way the athlete is feeling.
 Or in other words. Is it possible to have a  very high SmO2  and a high lactate and a low SmO2 and a low lactate and what does that mean ( outside the boxy thinking is needed ).
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