Projects & Grants
| Muscle Oxygen Saturation (SmO2): Course and Key Parameters During a Graded Exercise Test to Exhaustion (GXT) in Groups with Different Training Status | |
|---|---|
| Project Id | SGS07/PdF/2026 |
| Main solver | Mgr. Radovan Murin |
| Period | 1/2026 - 12/2026 |
| Provider | Specifický VŠ výzkum |
| State | solved |
| Anotation | Non-invasive near-infrared spectroscopy (NIRS) sensors are used to measure muscle oxygen saturation (SmO2) in sports science and are increasingly gaining popularity in performance and health research. Between 2017-2023, 191 studies across 37 sports disciplines were published using NIRS technology (Perrey et al., 2024). SmO2 is defined as the balance between oxygen delivery and oxygen utilization in the muscle (Vasquez Bonilla et al., 2023). More precisely, it represents the percentage of oxygenated hemoglobin (HbO2) relative to the total hemoglobin concentration (HbO2 + HHb) within a small volume of muscle tissue. SmO2 correlates reliably with VO2 and heart rate, and can therefore serve as an indicator of internal load (Crum et al., 2017; Yogev et al., 2023). Although SmO2 appears to be a reliable physiological indicator, the use of NIRS for routine measurement is still not widespread within the sports community, and further research is needed regarding its practical application. Current findings, however, suggest that NIRS sensors have substantial application potential beyond laboratory environments. One of the most commonly used devices is the MOXY sensor, which has been validated as a reliable tool for measuring SmO2 in studies by Crum et al. (2017) and Feldmann et al. (2019). This sensor, in combination with other physiological markers, may serve as a tool for regulating and individualizing training load. Several studies have already confirmed an association between the SmO2 curve profile and the first and second ventilatory thresholds (VT1 & VT2), where SmO2 can serve as an indicator of the transition from predominantly aerobic to more anaerobic metabolism, thus providing information about the current exercise intensity (Vasquez Bonilla et al., 2023). |
| Total Costs | 155 100 CZK |
