Comparison of Different Approaches Estimating Skeletal Muscle Oxygen Consumption Using Continuous-Wave Near-Infrared Spectroscopy at a Submaximal Contraction Level—A Comparative Study
Source abstract
Abstract
Continuous-wave near-infrared spectroscopy (CW-NIRS) is a method used to non-invasively estimate skeletal muscle oxygen consumption (mVO2). Three different signals are provided by CW-NIRS devices: (1) oxygenated hemoglobin (O2Hb); (2) deoxygenated hemoglobin (HHb); and (3) tissue saturation index (TSI). Typically, the signal’s slope is interpreted with respect to high or low mVO2 during a muscle action. What signal (or combination of signals) is used for slope interpretation differs according to what approach is used, and there are several published in literature. It is unclear if resulting mVO2 estimates can be used interchangeably. Hence, this work aimed to compare five commonly used approaches on the same set of CW-NIRS data regarding their agreement in estimated mVO2. A controlled, lab-based study setting was used for this experiment. Data are based on isometric dorsiflexion contractions of 15 subjects at 30% of voluntary maximum torque, at two different ankle angles. CW-NIRS was placed on the m. tibialis anterior and blood flow was occluded. The approaches for mVO2 estimation included calculations based on (1) TSI, (2) the difference between O2Hb and HHb (Hbdiff), (3) the mean of slopes from O2Hb and HHb (Hbmean), (4) the HHb signal, and (5) the O2Hb signal. Linear regression modelling was used to calculate respective slopes (r2 > 0.99). Repeated measures ANOVA identified significant differences between the approaches (p < 0.001, ω2 = 0.258). Post-hoc tests revealed that only TSI vs. Hbmean and Hbdiff vs. HHb gave comparable results (p > 0.271). In addition, Bland–Altman plots showed good accuracy (mean bias ~2%) but low precision (±20%) between the comparisons. Thus, the different approaches to estimate mVO2 cannot be used interchangeably. The results from different studies using different approaches should be compared with caution.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Optical Imaging and Spectroscopy Techniques · Non-Invasive Vital Sign Monitoring · Hemodynamic Monitoring and Therapy
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Sport and Health Sciences, Biomechanics in Sports, Technical University of Munich (TUM), 80992 Munich, Germany
Department of Human Sciences, Institute of Sport Science, Universität der Bundeswehr München, 85579 Neubiberg, Germany
References (37)
Show source-provided references
1. A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology10.1016/j.neuroimage.2013.05.004 ↗
2. Understanding near infrared spectroscopy and its application to skeletal muscle research10.1152/japplphysiol.00166.2018 ↗
3. Reliability and reproducibility of a four arterial occlusions protocol for assessing muscle oxidative metabolism at rest and after exercise using near-infrared spectroscopy10.1088/1361-6579/ab921c ↗
4. Shaw, K., Butcher, S., Ko, J., Zello, G.A., and Chilibeck, P.D. (2020). Wearing of Cloth or Disposable Surgical Face Masks has no Effect on Vigorous Exercise Performance in Healthy Individuals. Int. J. Environ. Res. Public Health, 17.10.3390/ijerph17218110 ↗
5. Isolated finger flexor vs. exhaustive whole-body climbing tests? How to assess endurance in sport climbers?10.1007/s00421-021-04595-7 ↗
6. Stöggl, T., and Born, D.-P. (2021). Near Infrared Spectroscopy for Muscle Specific Analysis of Intensity and Fatigue during Cross-Country Skiing Competition—A Case Report. Sensors, 21.10.3390/s21072535 ↗
7. Skeletal muscle Vo2 kinetics by the NIRS repeated occlusions method during the recovery from cycle ergometer exercise10.1152/japplphysiol.00580.2019 ↗
8. Malagoni, A.M., Felisatti, M., Lamberti, N., Basaglia, N., Manfredini, R., Salvi, F., Zamboni, P., and Manfredini, F. (2013). Muscle oxygen consumption by NIRS and mobility in multiple sclerosis patients. BMC Neurol., 13.10.1186/1471-2377-13-52 ↗
9. Near-infrared spectroscopy for evaluation of peripheral vascular disease. A systematic review of literature10.1016/j.ejvs.2007.07.015 ↗
10. Oxygen consumption of gastrocnemius medialis muscle during submaximal voluntary isometric contractions with and without preceding stretch10.1038/s41598-017-04068-y ↗
11. Knee angle-dependent oxygen consumption during isometric contractions of the knee extensors determined with near-infrared spectroscopy10.1152/japplphysiol.01420.2004 ↗
12. Muscle Oximetry in Sports Science: A Systematic Review10.1007/s40279-017-0820-1 ↗
13. Influence of neural adjustments and muscle oxygenation on task failure during sustained isometric contractions with elbow flexor muscles10.1113/expphysiol.2011.064303 ↗
14. Forearm muscle oxygenation responses during and following arterial occlusion in patients with mitochondrial myopathy10.1016/j.resp.2013.09.007 ↗
15. Tissue oxygenation monitor using NIR spatially resolved spectroscopy10.1117/12.356862 ↗
16. The use of near-infrared spectroscopy in understanding skeletal muscle physiology: Recent developments
17. Progress of near-infrared spectroscopy and topography for brain and muscle clinical applications10.1117/1.2804899 ↗
18. Reproducibility of near-infrared spectroscopy parameters measured during brachial artery occlusion and reactive hypermia in healthy men10.1117/1.JBO.17.7.077010 ↗
19. Reliability of near-infrared spectroscopy for measuring biceps brachii oxygenation during sustained and repeated isometric contractions10.1117/1.3309746 ↗
20. Reliability of near-infrared spectroscopy for measuring forearm and shoulder oxygenation in healthy males and females10.1007/s00421-011-2244-1 ↗
21. In vivo quantitative near-infrared spectroscopy in skeletal muscle during incremental isometric handgrip exercise10.1046/j.1475-097X.2002.00420.x ↗
22. Nonuniform quadriceps O2 consumption revealed by near infrared multipoint measurements10.1006/bbrc.2001.5292 ↗
23. Reliability of near infrared spectroscopy (NIRS) for measuring forearm oxygenation during incremental handgrip exercise10.1007/s00421-011-2183-x ↗
24. A dynamic objective evaluation of peripheral arterial disease by near-infrared spectroscopy10.1016/j.ejvs.2009.06.011 ↗
25. Assesing muscular oxygenation during incremental excercise using near-infrares spectrosscopy: Comparison of three different methods10.33549/physiolres.933612 ↗
26. Noninvasive measurement of human forearm oxygen consumption by near infrared spectroscopy10.1007/BF00377698 ↗
27. Noninvasive evaluation of skeletal muscle mitochondrial capacity with near-infrared spectroscopy: Correcting for blood volume changes10.1152/japplphysiol.00319.2012 ↗
28. The isometric torque at which knee-extensor muscle reoxygenation stops10.1249/mss.0b013e31802dd3cc ↗
29. Knee extensor muscle oxygen consumption in relation to muscle activation10.1007/s00421-006-0298-2 ↗
30. Muscle force recovery in relation to muscle oxygenation10.1111/j.1475-097X.2012.01141.x ↗
31. Performance of near-infrared spectroscopy in measuring local O2 consumption and blood flow in skeletal muscle10.1152/jappl.2001.90.2.511 ↗
32. Rest interval between sets in strength training10.2165/11315230-000000000-00000 ↗
33. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences, Erlbaum. [2nd ed.].
34. JASP Team (2022, January 17). JASP (Version 0.11.1) [Computer Software]. Available online: https://jasp-stats.org/.
35. Oxidative Metabolism in Muscle10.1098/rstb.1997.0049 ↗
36. Noninvasive measures of oxidative metabolism on working human muscles by near-infrared spectroscopy10.1152/jappl.1996.81.3.1410 ↗
37. Muscle oxygen consumption, determined by NIRS, in relation to external force and EMG10.1016/S0021-9290(03)00081-2 ↗