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Method Article

Using Near-Infrared Spectroscopy Wearable Devices to Identify Central Versus Peripheral Limitations During Exercise

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DOI:

10.3791/67609

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December 19th, 2024

 ,  ,  ,  ,  , 
1Laboratory of Exercise Physiology, Department of Kinesiology, School of Health Sciences, Faculty of Medicine, Pontificia Universidad Católica de Chile, 2Department of Informatics and Computing, Faculty of Engineering, Universidad Tecnológica Metropolitana

* These authors contributed equally

In This Article

Summary

This protocol integrates near-infrared spectroscopy (NIRS) technology to assess localized hematological and oxygenation changes at the prefrontal cortex, respiratory (m.Intercostales), and locomotor (m.Vastus Lateralis) muscles during cardiopulmonary exercise testing, enabling the identification of central and peripheral limiting factors affecting exercise performance.

Abstract

The gold standard to assess the aerobic capacity in physically active subjects and athletes is the maximal oxygen consumption test (VO2–max), which involves analysis of exhaled–gases and cardiorespiratory variables obtained via the breath-by-breath method in an ergospirometer during an incremental exercise. However, this method cannot elucidate metabolic changes at the muscular level. Near-infrared spectroscopy (NIRS) has emerged as a valuable technology to evaluate local oxygen levels (Tissular Saturation Index, TSI) by quantifying the concentrations of oxygenated (O2-Hb) and deoxygenated (H-Hb) hemoglobin in the microvasculature of tissues. NIRS applications extend to respiratory and locomotor muscles, assessing metabolic changes associated with the cost of breathing (COB) and peripheral workload, respectively. Additionally, cerebral regions, such as the prefrontal cortex, have been explored with NIRS technology to assess physiological changes related to cognitive demand associated with planning or ideation of motor tasks linked to sports performance. Thus, by analyzing exercise-induced changes (D) in O2-Hb, H-Hb, and TSI, it is possible to identify central and peripheral exercise limitations, particularly when endurance training is the main component of physical fitness (e.g., running, cycling, triathlon, etc.). Addressing these factors is paramount for coaches and exercise physiologists to optimize athletic performance, incorporating training strategies focused on the primary exercise-limiting factors. This study outlines a protocol for utilizing wearables devices equipped with NIRS technology to analyze exercise changes in TSI, O2-Hb, and H-Hb, alongside cardiorespiratory variables typically registered in athletes during VO2–max tests. This approach offers a comprehensive method for identifying the primary systems involved in stopping exercise progression and sports performance improvement.

Introduction

Endurance athletes rely on an efficient balance of oxygen delivery and uptake to sustain high–intensity exercise and enhance their athletic performance1,2. The maximal oxygen uptake test (VO2-max) is a vital physiological assessment that determines sports performance by analyzing exhaled–gases and cardiorespiratory variables during incremental exercise intensity1. This assessment, known as ergospirometry or Cardiopulmonary Exercise Testing (CPET), reflects the exercise response of the cardiovascular, respiratory, and muscular systems3. Along these lines, the increased energy cost associated with breathing, referred to as the cost of breathing (COB), heightens the demand for nutrients and oxygen in the surrounding tissues. This phenomenon has been documented to potentially reduce blood flow to the muscles involved in active movements, resulting in a decreased tolerance to physical exertion and an early cessation of exercise progression due to the metabolic reflex4.

During a VO2–max test, it is also possible to identify the ventilatory thresholds (VTs), which correspond to specific exercise intensities marking the transition from aerobic to anaerobic metabolism (aerobic threshold or ventilatory threshold 1 [VT1], and anaerobic threshold or respiratory compensation point [RCP] or ventilatory threshold 2 [VT2])5. The VTs reflect the ventilatory responses that compensate for metabolic changes during incremental exercise6. By identifying these thresholds, CPET offers a comprehensive evaluation by integrating the responses of multiple biological systems critically engaged during high–intensity exercise.

However, while ergospirometry is widely considered the gold standard for evaluating CPET, it does not capture metabolic changes occurring at the muscle level. These changes are crucial for understanding the physiological limiting factors associated with the lack of progression during high–intensity exercise in endurance athletes. In this context, NIRS technology has emerged as a valuable tool in exercise science, aiding in analyzing hemodynamic variables at the microvascular muscle level7.

In recent years, sports professionals and researchers have used a wide range of commercial wearables equipped with NIRS technology to explore non–invasive muscular changes during exercise, providing the ability to determine VT1 and VT2 with this technology8. Thus, the integrative analysis of data from NIRS and CPET offers a comprehensive understanding of physiological responses to exercise.

The NIRS technology utilizes the modified Beer-Lambert law to quantify changes (D) in the concentrations of oxyhemoglobin (O2-Hb) and deoxyhemoglobin (H-Hb) during exercise7. At the local tissue level, a decrease in O2-Hb reflects an increase in local metabolic demand, while an increase in H-Hb reflects an increase in oxygen extraction. Total hemoglobin (tHb), the sum of O2-Hb and H-Hb, is used as an index of local tissue blood flow. Conversely, the difference between O2-Hb and H-Hb (Hbdiff) provides an index of tissue oxygen extraction9. The tissular saturation index (TSI), calculated as the ratio of O2-Hb to tHb, reflects the tissue oxygen saturation level and indicates the balance between local oxygen delivery and uptake10,11. Thus, NIRS data give critical insights into the physiological status at the microvascular level, providing a detailed understanding of tissue oxygenation and hemodynamics that complements the information obtained from CPET.

This detailed understanding provided by NIRS technology extends to many practical applications. Recent research highlights the versatility of NIRS and demonstrates its practical application in monitoring respiratory12,13 and locomotor muscles7, as well as brain regions involved in motor act ideation, such as the prefrontal cortex (PFC)14,15. This broad applicability underscores the ability of NIRS to provide comprehensive insight into physiological responses to various types of muscle contractions (concentric or, eccentric, or isometric contractions) and exercise.

By analyzing exercise-induced DTSI at both the muscular and cerebral levels, NIRS provides a valuable potential for identifying associations between peripheral and central limiting factors that affect the progression of exercise16,17. For example, among central limiting factors, decreased blood flow resulting from cerebral vasoconstriction caused by compensatory hyperventilation due to elevated hydrogen levels from anaerobic metabolism and increased blood lactate during high-intensity exercise is a significant contributor to the reduction in TSI in the prefrontal cortex17,18. In contrast, peripheral limiting factors are characterized by an imbalance between oxygen supply and demand in the exercising musculature19. Reduced local oxygen delivery and increased oxygen consumption can lead to tissue deoxygenation, as evidenced by decreased TSI20. This distinction highlights the multifaceted nature of performance limitations during high–intensity exercise, where both central and peripheral mechanisms are critical. This understanding suggests that delaying the onset of these limiting factors during exercise may contribute to improved athletic performance.

To fully leverage the potential of NIRS technology in identifying these limitations, standardized procedures are essential to ensure high-quality data collection and analysis. This document outlines methods for conducting maximal endurance exercise testing using NIRS technology to collect physiological data and elucidate the relationship between central and peripheral limiting factors during high-intensity exercise in endurance athletes. The proposed protocol provides a standardized approach to ensure consistency and accuracy in assessing the physiological phenomena underlying these limiting factors.

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Protocol

The protocol was approved by the Institutional Review Board of the Pontificia Universidad Católica de Chile (projects nº 210525001 and 220608010), and the study was conducted in accordance with the Declaration of Helsinki. All participants provided written informed consent before participating in the testing described.

1. Placement and setup of NIRS wearables

NOTE: Various NIRS wearables and data acquisition software can be utilized. Researchers should thoroughly consult the manufacturer's instructions and guidelines to ensure proper setup and usage. In this study, the devices that use a continuous wave register of the NIRS signal are used. These commercial devices are easy to use, but they can only detect changes in light attenuation relative to the reference or baseline phase and cannot detect absolute concentrations like other devices that employ a time-domain register of NIRS.

  1. NIRS wearables preparation and general placement guidelines
    1. Before placing the devices and starting the measurements, ensure that all wearables are fully charged.
      NOTE: For the devices used in this study, the manufacturer reports that a battery with a full charge can register 6–8 h continuously.
    2. Apply double-sided adhesive tape to all wearables to secure them to the participant's skin, ensuring that the tape does not obstruct the light emitters and detectors.
    3. Cover all wearables with a layer of cling film, followed by a layer of a waterproof adhesive dressing to protect them from sweat.
    4. Before placing the devices, clean the target area with an alcohol pad to remove any residue that may interfere with the register (e.g., creams, cosmetics, etc.). If necessary, shave the area around the target site, as hair can interfere with NIRS signals.
      NOTE: It is recommended that a thorough hand wash be performed before placing any device on the participant's skin to prevent potential contamination. Wearing gloves is encouraged, as it can further reduce the risk of contamination.
    5. Once all wearables are correctly placed on the participant's skin (see section 1.2), secure them with a layer of elastic therapeutic tape. If additional fixation is needed, use an elastic bandage wrap of dark color, ensuring that excessive compression does not alter the measurements (less than the 25 mm Hg capillary occlusion pressure measured by a conventional sphygmomanometer).
    6. Place a black cloth over all wearables to prevent ambient light from penetrating. If covering the area with a cloth is not possible (around 6 cm2), use black elastic therapeutic tape to block ambient light.
  2. NIRS device placement
    NOTE: Ensure that NIRS wearables devices are placed so that ON/OFF and setting buttons are easily accessible.
    1. Prefrontal Cortex: Place the NIRS probe on the left or right dorsolateral prefrontal cortex, approximately 10 mm above the participant's superciliary arch, similar to Fp1 electrode placement according to the modified international EEG 10-20 system21.
    2. m.Intercostales: Place the NIRS probe over the 7th intercostal space at the right anterior axillary line22,23,24. If, for some reason, it is not positioned over the right hemithorax, position it over the left hemithorax, but the signal from the heart rate may be more pronounced on the left side.
      1. To confirm NIRS penetration depth, use a B–mode ultrasound to verify the distance from subcutaneous tissue to the outer border of the m.Intercostales. For measurements at m.Intercostales, ensure that the distance between skin and muscle is less than 15 mm.
    3. m.Vastus Lateralis: Place the NIRS probe 5 cm lateral to the imaginary line's midpoint, connecting the patella's upper edge and the greater trochanter of the femur24,25,26.
      1. To ensure that the adipose tissue thickness (ATT) does not alter the register of the NIRS signal, measure skinfold thickness to confirm the NIRS penetration depth27. For measurements at m.Vastus Lateralis, ensure that the ATT is less than 20 mm.
  3. NIRS software setup
    1. Once all NIRS wearables are correctly placed (see section 1.2), power them ON before starting the measurement.
    2. Launch the data acquisition software provided by the manufacturer, create a new file, and link the NIRS wearables.
    3. After all NIRS wearables are successfully linked, set the sampling rate to 10 Hz for data acquisition and analog-to-digital conversion for the assessed tissues. For prefrontal cortex measurements, adjust the differential pathlength factor (DPF) according to the age-dependent DPF for each participant28. For muscle measurement, set the DPF to 4, as used in previous protocols with athletes as subjects of study29,30.

2. Calibration and setup of ergospirometer

  1. Volume calibration
    1. Open the ergospirometer's software provided by the manufacturer to begin the calibration process.
    2. Attach the flow meter to a 28 mm turbine with a syringe adapter. Connect one corrugated tube to the syringe adapter and the other to a 3 L calibration syringe.
    3. Perform six withdrawal/injection maneuvers, maintaining a constant flow rate. Upon completion, the software will automatically confirm if the calibration test has passed.
  2. Gas calibration
    NOTE: Ensure the flow calibration is done before starting the gas calibration.
    1. Air calibration
      1. Ensure the sample line from the gas analyzer is disconnected from the calibration port and hanging freely. Then, initialize the calibration process.
      2. During calibration, a stable flat line is observed as the concentrations of oxygen (O2) and carbon dioxide (CO2) do not vary significantly (less than 5%). Once air calibration has been successfully completed, proceed to the metabolic gas calibration.
    2. Metabolic gas calibration
      1. Open the gas valves and verify that adequate pressure is delivered to the system by checking the manometer (consult the manufacturer for specific instructions).
      2. Connect the sample line to the calibration port and initialize the calibration process. Perform a 3 min pre-heating before starting the calibration, as advised by the manufacturer.
      3. If done correctly, after the 3 min pre-heating period, two flat lines should be observed: one fluctuating between room air (approximately 21.00% O2 and 0.04% CO2) and the other between the calibration gas (16.00% O2 and 5.00% CO2).
      4. Finally, disconnect the sample line from the calibration port and attach it to the mouthpiece that will be used for the upcoming test.

3. ECG electrode placement (12 leads)

  1. Prepare the skin by exfoliating with a cream and/or shaving any hair from the electrode placement sites if necessary. Clean the areas with an alcohol pad to remove any superficial tissue residues.
  2. Place the ECG electrodes as follows31:
    1. Place the bipolar leads (Limb lead electrodes) as follows: Left arm (LA): left side of subclavicular fossa; Right arm (RA): right side of subclavicular fossa; Left leg (LL): anterior projection of left femoral head; Right leg (RL): anterior projection of right femoral head.
    2. Place the precordial lead electrodes as follows: V1: 4th intercostal space to the right of the sternum; V2: 4th intercostal space to the left of the sternum (in line with V1); V3: Midway between V2 and V4; V4: 5th intercostal space at the midclavicular line; V5: anterior axillary line at the same level as V4; V6: midaxillary line at the same level as V4 and V5.

4. Incremental maximal exercise test (cardiopulmonary exercise testing, CPET)

  1. Ask the participant to sit on the bike, ensuring that the seat and handlebars are adjusted to their height for optimal comfort and positioning.
    NOTE: It is advised to set the seat height so that the knee is slightly bent at full extension32. The handlebars should be positioned to allow for a slight flexion of the elbows.
  2. Attach a pulse oximeter to the participant's ear lobe, ensuring the site is clean by wiping it with an alcohol pad.
  3. Explain the protocol and instruct the participant to breathe through the mask before, during, and after the test.
    NOTE: The participant must avoid talking or whistling while wearing the mask, as this can affect the ergospirometer's readings33.
  4. Once the participant is positioned and prepared, have the participant extend the right leg and wait 2 min for the start instruction (initial rest stage). Have the participant pedal at a cadence between 80–100 rpm for 6 min at 0.6 W·kg-1 and 0.8 W·kg-1 for women/men, respectively (warm-up phase). Then, increment the workload at a rate of 20 W·min-¹ for women and 25 W·min-¹ for men until the participant reaches exhaustion (exercise phase).
  5. After completing the exercise phase, instruct the participant to remain still and continue breathing into the mask for 3 min (cool-down or recovery phase).
  6. Once the exercise protocol is finished, carefully remove the pulse oximeter from the earlobe, the mask, all three NIRS wearables, and the ECG electrodes.
    NOTE: To keep the laboratory ambient condition (e.g., air temperature ~20 ± 2 °C, relative humidity ~40% ± 5%), it is a crucial criterion. Some participants can show a high sweat rate, which interferes with the fixation of devices on the skin and affects NIRS data recording. The use of ventilators can help to reduce hot thermoregulation by sweating.

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Results

During the completion of a CPET, the symptoms of dyspnea, leg fatigue, and rate of perceived exertion (RPE) were reported in all subjects. The complementary use of the NIRS devices did not add any discomfort to the subjects' sensation assessment. Also, we did not stop the CPET assessments by any risk event associated with excessive physiological stress.   

We studied two competitive male cyclists recruited from a national cycling club. The inclusion criteria for this study were physically acti...

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Discussion

There is significant potential in using NIRS wearables as a complementary tool to CPET for evaluating athletic performance and identifying central and peripheral exercise–limiting factors in aerobic or endurance athletes, given that NIRS technology has proven its validity and reliability in assessing microvascular hemodynamics in both cerebral and muscular regions37,38. However, to maximize the benefits of this technology, several considerations must be add...

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Disclosures

The authors declare no conflict of interest.

Acknowledgements

We thank all participants in this study and technical laboratory staff for their support in the measurements taken at the Laboratory of Exercise Physiology. The authors FC-B and ME-R were partially supported by the III, IV, and V Research & Innovation Competitions of the School Health Sciences (Faculty of Medicine, Pontificia Universidad Católica de Chile). The author RC-C was funded by Project supported by the Competition for Research Regular Projects, year 2023, code LPR23-17, Universidad Tecnológica Metropolitana.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Column ScaleSECA711There are numerous alternatives to this item
Portable Stadiometer SECA217There are numerous alternatives to this item
12-lead ECGCOSMEDQuark T12xA 12-lead ECG provides a better understanding of HR during exercise and facilitates the detection of arrhythmias.
Pulse OxymeterCOSMEDIntegrated pulse oxymeter
ErgoespirometerCOSMEDQuark-CPETCalibration gases and calibration syringe are included
Cycle-ergometerErgoline GmHViaSprint 150PThere are numerous alternatives to this item. Must ensure compatibility with provided software
NIRS weareableArtinis Medical SystemsPortaliteArticulated NIRS weareable fits the surface where it's placed upon. 
NIRS weareableArtinis Medical SystemsPortamonPortamon device provides better results on high adipose-tissue surfaces.
Metabolic Data Management Software (OMNIA)COSMEDSoftware will vary upon system choice
NIRS Data Management Software (Oxysoft)Artinis Medical SystemsSoftware will vary upon device choice
Wireless Probe Type Ultrasound ScannerSONUSDuo LCThere are numerous alternatives to this item

References

  1. Bassett, D. R. Limiting factors for maximum oxygen uptake and determinants of endurance performance. Med Sci Sports Exerc. 70 (1), 12-25 (2000).
  2. Seiler, S. What is best practice for training intensity and duration distribution in endurance athletes. Int J Sports Physiol Perform. 5 (3), 276-291 (2010).
  3. Palange, P., et al. Recommendations on the use of exercise testing in clinical practice. Eur Respir J. 29 (1), 185-209 (2006).
  4. Contreras-Briceño, F., et al. Intercostal muscles oxygenation and breathing pattern during exercise in competitive marathon runners. Int J Environ Res Public Health. 18 (16), 8287(2021).
  5. Mier, C. M., Alexander, R. P., Mageean, A. L. Achievement of VO2max criteria during a continuous graded exercise test and a verification stage performed by college athletes. J Strength Cond Res. 26 (10), 2648-2654 (2012).
  6. Racinais, S., Buchheit, M., Girard, O. Breakpoints in ventilation, cerebral and muscle oxygenation, and muscle activity during an incremental cycling exercise. Front Physiol. 5, 142(2014).
  7. Perrey, S., Quaresima, V., Ferrari, M. Muscle oximetry in sports science: An updated systematic review. Sports Med. 54 (4), 975-996 (2024).
  8. Contreras-Briceño, F., et al. Determination of the respiratory compensation point by detecting changes in intercostal muscles oxygenation by using near-infrared spectroscopy. Life (Basel). 12 (3), 444(2022).
  9. Kozlova, S. G. The use of near-infrared spectroscopy in the sport-scientific context. J Neurol Neurol Diord. 4 (2), 203(2018).
  10. Perrey, S. Non-invasive NIR spectroscopy of human brain function during exercise. Methods. 45 (4), 289-299 (2008).
  11. Barstow, T. J. Understanding near infrared spectroscopy and its application to skeletal muscle research. J Appl Physiol. 126 (5), 1360-1376 (2019).
  12. Kowalski, T., et al. Respiratory muscle training induces additional stress and training load in well-trained triathletes—randomized controlled trial. Front Physiol. 14, 1264265(2023).
  13. Espinosa-Ramírez, M., et al. Sex-differences in the oxygenation levels of intercostal and vastus lateralis muscles during incremental exercise. Front Physiol. 12, 738063(2021).
  14. Perrey, S. Evaluating brain functioning with NIRS in sports: Cerebral oxygenation and cortical activation are two sides of the same coin. Front Neuroergonomics. 3, 1022924(2022).
  15. Thomas, R., Perrey, S. Prefrontal cortex oxygenation and neuromuscular responses to exhaustive exercise. Eur J Appl Physiol. 102 (2), 153-163 (2007).
  16. Kirby, B. S., Clark, D. A., Bradley, E. M., Wilkins, B. W. The balance of muscle oxygen supply and demand reveals critical metabolic rate and predicts time to exhaustion. J Appl Physiol. 130 (6), 1915-1927 (2021).
  17. Perrey, S. Training monitoring in sports: It is time to embrace cognitive demand. Sports (Basel). 10 (4), 56(2022).
  18. Angius, L., et al. Transcranial direct current stimulation over the left dorsolateral prefrontal cortex improves inhibitory control and endurance performance in healthy individuals. Neuroscience. 419, 34-45 (2019).
  19. Dempsey, J. A., McKenzie, D. C., Haverkamp, H. C., Eldridge, M. W. Update in the understanding of respiratory limitations to exercise performance in fit, active adults. Chest. 134 (3), 613-622 (2008).
  20. Peltonen, J. E., et al. Cerebral and muscle deoxygenation, hypoxic ventilatory chemosensitivity and cerebrovascular responsiveness during incremental exercise. Respir Physiol Neurobiol. 169 (1), 24-35 (2009).
  21. Klem, G. H., Lüders, H. O., Jasper, H. H., Elger, C. The ten-twenty electrode system of the International Federation. Electroencephalogr Clin Neurophysiol Suppl. 52, 3-6 (1999).
  22. Vogiatzis, I., et al. Intercostal muscle blood flow limitation in athletes during maximal exercise. J Physiol. 587 (14), 3665-3677 (2009).
  23. Vogiatzis, I., et al. Intercostal muscle blood flow limitation during exercise in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 182 (9), 1105-1113 (2010).
  24. Contreras-Briceño, F., et al. Reliability of NIRS portable device for measuring intercostal muscles oxygenation during exercise. J Sports Sci. 37 (23), 2653-2659 (2019).
  25. Crum, E. M., O'Connor, W. J., Van Loo, L., Valckx, M., Stannard, S. R. Validity and reliability of the Moxy oxygen monitor during incremental cycling exercise. Eur J Sport Sci. 17 (8), 1037-1043 (2017).
  26. Vogiatzis, I., et al. Quadriceps muscle blood flow and oxygen availability during repetitive bouts of isometric exercise in simulated sailing. J Sports Sci. 29 (10), 1041-1049 (2011).
  27. Grassi, B., Quaresima, V. Near-infrared spectroscopy and skeletal muscle oxidative function in vivo in health and disease: A review from an exercise physiology perspective. J Biomed Opt. 21 (9), 091313(2016).
  28. Duncan, A., et al. Measurement of cranial optical path length as a function of age using phase resolved near infrared spectroscopy. Pediatr Res. 39 (5), 889-894 (1996).
  29. Aebi, M. R., Willis, S. J., Girard, O., Borrani, F., Millet, G. P. Active preconditioning with blood flow restriction or/and systemic hypoxic exposure does not improve repeated sprint cycling performance. Front Physiol. 10, 1393(2019).
  30. Cocking, S., et al. Repeated sprint cycling performance is not enhanced by ischaemic preconditioning or muscle heating strategies. Eur J Sport Sci. 21 (2), 166-175 (2021).
  31. Kligfield, P., et al. Recommendations for the standardization and interpretation of the electrocardiogram. J Am Coll Cardiol. 49 (10), 1109-1127 (2007).
  32. Dillon, H. T., et al. The effect of posture on maximal oxygen uptake in active healthy individuals. Eur J Appl Physiol. 121 (5), 1487-1498 (2021).
  33. DeCato, T. W., Haverkamp, H., Hegewald, M. J. Cardiopulmonary exercise testing (CPET). Am J Respir Crit Care Med. 201 (1), P1-P2 (2020).
  34. Skinner, J. S., Mclellan, T. H. The transition from aerobic to anaerobic metabolism. Res Q Exerc Sport. 51 (1), 234-248 (1980).
  35. Elmberg, V., et al. Reference equations for breathlessness during incremental cycle exercise testing. ERJ Open Res. 9 (2), 00566-02022 (2023).
  36. Borg, G. A. Psychophysical bases of perceived exertion. Med Sci Sports Exerc. 14 (5), 377-381 (1982).
  37. Perrey, S. Could near infrared spectroscopy be the new weapon in our understanding of the cerebral and muscle microvascular oxygen demand during exercise. J Sport Health Sci. 13 (4), 457-458 (2024).
  38. Orcioli-Silva, D., et al. Cerebral and muscle tissue oxygenation during exercise in healthy adults: A systematic review. J Sport Health Sci. 13 (4), 459-471 (2024).
  39. Kovalenko, B., Roskosky, M., Freedman, B. A. Effect of ambient light on near infrared spectroscopy. J Trauma Treat. 04 (03), (2014).
  40. Wik, L. Near-infrared spectroscopy during cardiopulmonary resuscitation and after restoration of spontaneous circulation: A valid technology. Curr Opin Crit Care. 22 (3), 191-198 (2016).
  41. Pirovano, I., et al. Effect of adipose tissue thickness and tissue optical properties on the differential pathlength factor estimation for NIRS studies on human skeletal muscle. Biomed Opt Express. 12 (1), 571(2021).
  42. Van Beekvelt, M. C. P., Borghuis, M. S., Van Engelen, B. G. M., Wevers, R. A., Colier, W. N. J. M. Adipose tissue thickness affects in vivo quantitative near-IR spectroscopy in human skeletal muscle. Clin Sci (Lond). 101 (1), 21-28 (2001).
  43. Homma, S. Influence of adipose tissue thickness on near infrared spectroscopic signal in the measurement of human muscle. J Biomed Opt. 1 (4), 418(1996).
  44. Gomes, A. C., et al. Body composition assessment in athletes: Comparison of a novel ultrasound technique to traditional skinfold measures and criterion DXA measure. J Sci Med Sport. 23 (11), 1006-1010 (2020).
  45. Delpy, D. T., Cope, M., Zee, P. V. D., Arridge, S., Wray, S., Wyatt, J. Estimation of optical pathlength through tissue from direct time of flight measurement. Phys Med Biol. 33 (12), 1433-1442 (1988).
  46. Talukdar, T., Moore, J. H., Diamond, S. G. Continuous correction of differential path length factor in near-infrared spectroscopy. J Biomed Opt. 18 (5), 056001(2013).
  47. Zonios, G., Bykowski, J., Kollias, N. Skin melanin, hemoglobin, and light scattering properties can be quantitatively assessed in vivo using diffuse reflectance spectroscopy. J Invest Dermatol. 117 (6), 1452-1457 (2001).
  48. Patel, N. A., Bhattal, H. S., Griesdale, D. E., Hoiland, R. L., Sekhon, M. S. Impact of skin pigmentation on cerebral regional saturation of oxygen using near-infrared spectroscopy: A systematic review. Crit Care Explor. 6 (2), e1049(2024).
  49. Wassenaar, E. B., Van Den Brand, J. G. H. Reliability of near-infrared spectroscopy in people with dark skin pigmentation. J Clin Monit Comput. 19 (3), 195-199 (2005).
  50. Miranda-Fuentes, C., et al. Changes in muscle oxygen saturation measured using wireless near-infrared spectroscopy in resistance training: A systematic review. Int J Environ Res Public Health. 18 (8), 4293(2021).

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