Cell thermal modeling and muscle oxygenation measurement in sports based on thermal radiation infrared spectroscopy and sensors

Abstract

Cell thermal modeling and muscle oxygenation are key indicators to evaluate athletes’ physical fitness and fatigue status. Traditional measurement methods often rely on invasive techniques, which not only inconvenience athletes, but also affect their performance. The aim of this study is to develop a non-invasive method based on thermal radiation infrared spectroscopy and sensor technology. The thermal radiation infrared spectroscopy technology and high sensitivity sensor are used to collect the thermal radiation images of athletes in different sports states. Image processing technology was used to analyze the acquired thermal radiation images, and the characteristic parameters related to cell thermal modeling and muscle oxygenation were extracted. In order to verify the effectiveness of the proposed method, we conducted a comparison experiment with the traditional intrusive measurement method. Through comparative analysis, the consistency between the measurement results based on thermal radiation infrared spectroscopy and the traditional method is evaluated. The results show that the measurement method based on thermal radiation infrared spectroscopy and sensor technology can effectively monitor cell thermal modeling and muscle oxygenation. Compared with the traditional intrusive method, this method has advantages in both accuracy and real-time performance. The thermal radiation images clearly show the heat distribution of athletes in different sports states, and the characteristic parameters obtained through image analysis are closely related to the physical state of athletes.