Doppler grading for decompression bubbles / 中国职业医学

ABSTRACT

Ultrasonic bubble detection has been widely used in predicting the risk of decompression sickness and evaluating the efficiency and safety of decompression procedures. Currently, the widely used SPENCER scale is conducted by using Doppler ultrasound to monitor the bubble signal in the precordial region of subjects. KM grading system is a computerized system based on Doppler ultrasound. The grading score can be converted into SPENCER bubble grading scale score and the bubble grading is precise and suitable for the motion status. On the basis of the above two methods, the KISMAN integrated severity score, extended SPENCER bubble grading and simplified Doppler bubble grading system were established. They not only coordinated analysis of Doppler ultrasound bubble detection results with other risk factors of decompression disease, but also convenient to use computer for processing detection results. With the in-depth application of Fourier technique and empirical mode decomposition in Doppler audio bubble signal detection, methods such as three-parameter fuzzy analysis and energy operator method are playing an important role in automatic bubble analysis. Optimization of detection technology and improvement of sensitivity and accuracy of automatic analysis are important development directions in the field of decompression bubble Doppler grating technology.