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Exercise tests using Train.Red sensors allow individuals to monitor their body's reactions to exercise, track progress, and optimize training based on personalized zones. The tests focus on examining physiological variables in muscles during running, particularly on the upper leg muscles. The data obtained can be analyzed to identify break-points and define training zones. The Train.Red FYER sensor measures muscle oxygen consumption directly. These exercise tests offer a way to improve workouts and performance without requiring a full laboratory setup.
This blog explains the experience of running a hilly race called 'De Zevenheuvelenloop' in the Netherlands and how muscle oxygen data can help understand the physical strain on the legs during such races. The data shows that running uphill increases muscle strength and demand for oxygen, while downhill running causes eccentric contractions leading to muscle soreness. It also compares the performance of two athletes in the race and highlights the importance of hills in training for better preparedness.
This blog discusses various methods to determine running pace for a marathon, including relying on coach instructions, previous results, data analysis, and running by feel. It emphasizes the importance of incorporating muscle oxygenation as a metric to gauge training intensity and race pace.
This blog discusses the subjective and objective measures of exercise intensity, focusing on Rate of Perceived Exertion (RPE) and heart rate. It highlights the limitations of RPE due to its subjective nature and introduces heart rate as a more objective measure. However, it acknowledges the challenges of using heart rate alone, particularly during intense training. To address these challenges, the article suggests the use of Near-Infrared Spectroscopy (NIRS) sensors to measure local muscle oxygenation and provide a more accurate assessment of intensity.