Monitoring Technology of Key Signs of Internal Medicine Nursing Based on Image Processing

The monitoring technology of key signs of internal medicine nursing based on image processing is an innovative non-contact monitoring method, which aims to improve the monitoring efficiency and accuracy of key signs such as Heart Rate (HR), Breathing Rate (BR), blood pressure and blood oxygen saturation of patients. This study discusses the principle and method of this technology and its effect in practical application. By using high-definition camera to capture video images of patients' faces, combined with optical flow method, signal processing and other technologies, the realtime monitoring of patients' vital signs is realized. The experimental results show that this technology is highly consistent with traditional medical equipment in monitoring HR and BR, with an average error of less than 5% and a correlation coefficient of more than 0.95, showing good accuracy and reliability. In addition, the technology shows high stability and accuracy under different lighting conditions and patient posture, and has strong robustness and applicability. Therefore, the monitoring technology based on image processing provides a convenient, efficient and safe monitoring method for internal medicine nursing, which is expected to be more widely used and popularized in the medical field.