| Sumario: | Muscle oxygenation (SMO2) measured from Near-infrared spectroscopy (NIRS) has been proven valid and reliable in exercise intensity demarcation, however it has been limited in representing anaerobic work capacity. Stationary NIRS is subject to noise associated with cross talk in the wires. Wireless, wearable SMO2 monitors provide the flexibility of measuring SMO2 in various settings; however, the reliability of the wireless MOXY monitor to model the SMO2 response above critical power remains unknown. PURPOSE: To analyze the reliability of the MOXY monitor to model changes in SMO2 above critical power for cycling at a power (CP4) that would exhaust the cyclist in four minutes. METHODS: After a warm-up protocol, fourteen cyclists rode between 6-8 separate trials on a Computrainer for two minutes at CP4, while the MOXY monitor measured SMO2 simultaneously at the vastus lateralis. Non-linear regression model parameters (SMO2max, SMO2@CP4, time constant-τ, and sum of error) were tested for statistical reliability (ICC, typical error). ICC estimates and their 95% confidence intervals were calculated using SPSS statistical package for Macintosh version 25.0 (SPSS Inc, Chicago, IL) based on an average measurement, 2-way mixed-effects model. RESULTS: In modeling SMO2 above CP4, SMO2max (ICC=0.964), SMO2@CP4 (ICC=0.993), time constant-τ (ICC=0.911), and sum of error (ICC=0.949) all demonstrated excellent ICCs (> 0.90). Typical error was calculated based on a 95% likely range of 1.19: SMO2max (±0.42%), SMO2@CP4 (±0.2%), time constant-τ (±0.49 second), sum of error (±0.51) (Hopkins, 2000). CONCLUSION: Measures of SMO2max, SMO2@CP4, time constant-τ, and sum of error from wireless, wearable SMO2 monitor have excellent reliability in modeling muscle oxygenation at CP4.
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