compartment syndrome has a high incidence in patients with a variety of diseases, including fractures, and delayed diagnosis or without intervention can lead to severe adverse prognosis, such as limb deformities, amputations and even death. Early diagnosis and early intervention are important, especially early diagnosis. Now, the diagnosis of compartment syndrome in clinical is based on medical history, clinical manifestations and measuring the compartment pressure by fine needle puncture. However, this diagnostic method is not easy to achieve early accurate diagnosis and non-invasive continuous monitoring. The study found that the increase of compartment pressure can lead to local changes of hemodynamic, tissue metabolism and nerve function. There are also studies and reports of near-infrared spectral tissue oxygen measurement technology, ultrasonic Doppler technology, near-infrared spectral pulse oxygen measurement technology and infrared thermal imaging technology can be used for noninvasive monitoring of acute compartment syndrome, but it is not clear that which is better above in early diagnosis of acute compartment syndrome. The purpose of this study was to simulate the process of early pressure increase in the compartment by pressurizing the volunteers' calves by cuff, and then measured the tissue oxygen in the Anterior fascia compartment using a non-invasive monitor of the tissue oxygen parameters, the ultrasonic machine measured the blood flow signal of the upper and lower backbone blood vessels, and the blood oxygen meter to measure the blood saturation of the upper and lower ends of the limb. The infrared thermal imager measured the near and far limb temperature of the hemostatic belt and the two-point identification of the skin sensory nerve function at the far end of the fascia chamber. Then compare the correlation of these indicators with pressure changes.
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Blood flow spectrum of the radial artery and dorsal artery by ultrasound Doppler examination
Timeframe: 40 minutes
tissue oxygen of the compartment by Infrared oxygen saturation monitor
Timeframe: 40 minutes