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Data Processing From Indirect Calorimetry: Recommendations and Guidelines Robert A. Robergs, Ph.D., FASEP, EPC Exercise Physiology Laboratories, Exercise.

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Presentation on theme: "Data Processing From Indirect Calorimetry: Recommendations and Guidelines Robert A. Robergs, Ph.D., FASEP, EPC Exercise Physiology Laboratories, Exercise."— Presentation transcript:

1 Data Processing From Indirect Calorimetry: Recommendations and Guidelines Robert A. Robergs, Ph.D., FASEP, EPC Exercise Physiology Laboratories, Exercise Science Program, University of New Mexico

2 Maximal Oxygen Consumption (VO 2 max) Time or Intensity VO 2 VO 2 max Cardiorespiratory limitations A.V. Hill V E F E O 2 F E CO 2

3 No universally recommended procedures for processing VO 2 data from breath-by-breath indirect calorimetry, or from time averaged systems. No standardized criteria or recommended methods for detecting either of a VO 2 plateau, the maximal rate of oxygen consumption (VO 2 max), or a peak VO 2 in the absence of a VO 2 plateau (VO 2 peak). Increasing use of breath-by-breath indirect calorimetry in education, research and professional practice The lack of any objective criteria to follow when processing decreases the validity of measurement. Background

4 Challenges How do researchers in exercise physiology currently collect and process data? What causes the “noise” in breath-by-breath VO 2 data? Should this “noise” be reduced? How should this “noise” be reduced? What is a VO 2 plateau? How can a VO 2 plateau be objectively determined? What is VO 2 max? What is VO 2 peak? How can VO 2 max and VO 2 peak be objectively determined?

5 How do researchers in exercise physiology currently collect and process data? Survey conducted over internet International sport science email discussion list (www.sportsci.org) n = 75 Breath-by-breath = 48% Time averaged mixing chamber = 25% Either depending on purpose = 27% Data processing = 30 s (38%), 60 s (18%), 20 s (11%), a moving average of 5-11 breaths (10%), 15 s (8%) and the middle 5 of 7 breaths (7%), other (8%) Check for VO 2 plateau = 93%

6 VO 2 Plateau criteria < 150 mL/min (34%) < 2 mL/kg/min (27%) subjective visual (18%) other (19%) Secondary criteria = attainment of age predicted HRmax (53%), RER > 1.10 (49%) or RER > 1.15 (27%), RPE > 17, 18 or 19 (20%) Why these methods used? = own beliefs (32%), what they were taught (26%), what they read in research articles (22%), tradition (13%) and the influence of their colleagues (7%) No distinction between VO 2 max or VO 2 peak = 76%

7 What causes the “noise” in breath-by-breath VO 2 data? 2.17  0.3 L/min, with a range of 1.4 – 3.3 L/min

8 Variability 96 % explained by a two-factor model of VE and FEO 2

9

10 Should this “noise” be reduced? SIM How should this “noise” be reduced?

11 Time Averaging

12 Breath Averaging

13 muscle cardiovascular ventilation Digital Filtering

14 What is a VO 2 plateau?

15 What is VO 2 max or VO 2 peak?

16 Data Example

17 Custom Programming Example

18 Conclusions Clear rationale for processing breath-by-breath VO 2 data to decrease “noise”. Processing best done by digital filtering Still formulating and debating criteria and methods to quantify VO 2 plateau, VO 2 max, VO 2 peak In the absence of a VO 2 plateau, what are valid criteria to use to verify a “true” VO 2 max?

19 Thank you


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