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Train.Red, a muscle oxygen sensor, can be affected by sunlight interference during training sessions. To mitigate this issue, Train.Red has developed the Train.Red Patch, an accessory made of dark woven fabric that prevents sunlight interference and ensures data quality. Tests have shown that the patch significantly reduces noise and instability in the sensor readings caused by sunlight. Wearing dark clothing or using compressive shorts can also help block sunlight and improve data quality.

In this episode of the BE AHEAD podcast by Train.Red, the hosts Kim and Jeroen discuss Near InfraRed Spectroscopy (NIRS). NIRS is a way of measuring the oxygenation or de-oxygenation of tissue, specifically muscle, using light. It provides insights into muscle physiology and performance. NIRS is more powerful than pulse oximetry (SpO2) as it can penetrate deeper into the muscle. It helps in assessing muscle activation, efficiency, and recovery during exercise. NIRS measures the saturation of hemoglobin with or without oxygen and can be used to identify muscle imbalances. While NIRS doesn't directly indicate health, it provides information about an individual's fitness level and their ability to recover from exercise.
The BE AHEAD podcast, hosted by Kim ter Stege and co-host Jeroen Molinger, aims to provide knowledge and insights on improving athletic performance. They discuss topics such as muscle potential, science, research data, and its application to training. Jeroen Molinger, the program director of Duke Human Pharmacology and Physiology Lab, specializes in muscle physiology and patient risk assessment. Train.Red, a part of the podcast, translates muscle oxygen data into features to guide sports enthusiasts in strength and endurance training.
The city of Utrecht in the Netherlands is hosting the Vuelta, one of the three major cycling tours, becoming the first city to host all three tours. The second stage of the Vuelta in Utrecht features challenging sections, including hills and an intermediate sprint. The muscle oxygenation and performance of cyclists were analyzed during the stage in this blog.
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.
VO2Master and Train.Red have partnered to enhance athletes' performance improvement by utilizing technology and data. VO2Master measures the volume of oxygen consumed by the body, providing insights into overall body effort. The VO2 Master Manager app integrates Train.Red sensors, allowing real-time monitoring of multiple data sources. The correlation between VO2 and muscle oxygenation is evident during exercise tests. 

Altitude poses numerous challenges to the human body, including temperature drops, high wind speeds, ozone concentration, increased solar radiation, isolation, and, most importantly, a lack of oxygen. At extreme heights, the availability of oxygen decreases due to decreased air pressure and density. These adaptations affect muscle oxygenation, as measured by NIRS sensors like the Train.Red Muscle Oxygen Sensors.

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.
Train.Red utilizes infrared light in the near-infrared region to measure changes in oxygenation levels in the muscle tissue. By distinguishing between oxyhemoglobin and deoxyhemoglobin based on their absorption behavior, Train.Red quantifies the changes in concentration. The technology provides direct feedback on various training parameters, such as optimal pacing, recovery times, and muscle exhaustion, accessible through smartphones, sport watches, or the Train.Red application.
The body uses multiple biochemical systems to produce ATP (muscle fuel) during exercise, with one system requiring oxygen. The distribution and consumption of oxygen play a crucial role in performance, as indicated by the 'Fick Equation' that relates oxygen consumption to cardiac output and oxygen content of arterial and venous blood.
Train.Red is a corporate spin-off from Artinis Medical Systems B.V. that helps athletes optimize their muscle performance. Train.Red's data is comprehensible, state-of-the-art, and validated, allowing athletes to benefit from their own muscle potential. They have developed sensors, AI, and integration in training routines. The technology provides actionable insights to enhance training efficiency and offers compatibility with smartphones, sports watches, and cycling computers.