Design and Research of Pilot Physiological Signal Intelligent Analysis System Based on Deep Learning

A computer aided data processing system for pilot flight physiological index measurement device is developed. The idea of modularization is used to design the architecture of the software system. This paper uses the modern digital information processing theory and method. QRS wave detection, respiration rate detection, heart rate heterogeneity analysis, heart rate variation analysis and multi-parameter synchronization analysis were performed on the data collected by the pilot's flight physiological parameter acquisition device. The data processing module realizes the functions of reading, retrieving, output and input of original data. The data section mainly includes the identification of QRS wave group, arrhythmia, ST segment, heart rate and other indicators. The system includes waveform diagram and trend diagram. Report module generates and prints reports. The maintenance department is mainly responsible for the maintenance of equipment. The actual use of several departments shows that the system is simple, stable and functional. The system provides a reliable basis for aviation military doctors to know the physical condition of pilots.